| 2020 | A Benchmark Test Suite for the Electric Capacitated Vehicle Routing Problem. Michalis Mavrovouniotis, Charalambos Menelaou, Stelios Timotheou, Georgios Ellinas, Christoforos Panayiotou, Marios M. Polycarpou |
| 2020 | A CMA-ES algorithm for solving the steelmaking scheduling problem involving time buffers. Sheng-Long Jiang, Wei Tang, Wanzhe Hu |
| 2020 | A Chaotic Inertia Weight TLBO Applied to Troubleshooting optimization Problems. Daniel B. P. Coelho, Leonardo R. Rodrigues |
| 2020 | A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms. Azam Asilian Bidgoli, Shahryar Rahnamayan |
| 2020 | A Comparative Analysis of Unbalanced Data Handling Techniques for Machine Learning Algorithms to Electricity Theft Detection. Jeanne Pereira, Filipe Saraiva |
| 2020 | A Comparative Study of Genetic Algorithm and Particle Swarm optimisation for Dendritic Cell Algorithm. Noe Elisa, Longzhi Yang, Fei Chao, Nitin Naik |
| 2020 | A Comparison of Crossover Operators in Genetic Algorithms for Switch Allocation Problem in Power Distribution Systems. Ronaldd Pinho, Filipe Saraiva |
| 2020 | A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing. Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen |
| 2020 | A Cone Decomposition Evolutionary Algorithm with Dominance-based Archive for Many-objective Optimization Problems with Irregular Fronts. Weiqin Ying, Junjie Huang, Yu Wu, Yali Deng, Yanqi Lan |
| 2020 | A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking. Matthew Stephenson, Damien Anderson, Ahmed Khalifa, John Levine, Jochen Renz, Julian Togelius, Christoph Salge |
| 2020 | A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching. Xinan Chen, Ruibin Bai, Rong Qu, Haibo Dong, Jianjun Chen |
| 2020 | A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2020 | A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. Yiming Peng, Hisao Ishibuchi |
| 2020 | A Decomposition-based Multi-objective Self-adaptive Differential Evolution Algorithm for RFID Network Planning. Jiahao Liu, Jing Liu |
| 2020 | A Differential Evolution Algorithm with Q-Learning for Solving Engineering Design Problems. Damla Kizilay, Mehmet Fatih Tasgetiren, Hande Öztop, Levent Kandiller, Ponnuthurai N. Suganthan |
| 2020 | A Dimension-Wise Particle Swarm Optimization Algorithm Optimized via Self-Tuning. Justin Schlauwitz, Petr Musílek |
| 2020 | A Fast Solution to Two-Impulse Lunar Transfer Trajectory based on Machine Learning Method. Luyi Yang, Yazhong Luo, Haiyang Li, Jin Zhang, Zhen Yang, Yue-he Zhu |
| 2020 | A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang |
| 2020 | A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem. Frumen Olivas, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín |
| 2020 | A GP approach for precision farming. Francesca Abbona, Leonardo Vanneschi, Marco Bona, Mario Giacobini |
| 2020 | A Gaussian-Prioritized Approach for Deploying Additional Route on Existing Mass Transportation with Neural-Network-Based Passenger Flow Inference. Fandel Lin, Jie-Yu Fang, Hsun-Ping Hsieh |
| 2020 | A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance. Meisam Mahdavi, Ali Reza Kheirkhah, Leonardo H. Macedo, Rubén Romero |
| 2020 | A Genetic Algorithm for the Thief Orienteering Problem. Leonardo Moreira Faêda, André G. Santos |
| 2020 | A Genetic Programming-Based Multi-Objective Optimization Approach to Data Replication Strategies for Distributed Systems. Syed Mohtashim Abbas Bokhari, Oliver E. Theel |
| 2020 | A Graph-based Ant-like Approach to Optimal Path Planning. Tingjun Lei, Chaomin Luo, John E. Ball, Shahram Rahimi |
| 2020 | A Hybrid BSO-ACS Algorithm for Vehicle Routing Problem with Time Windows on Road Networks. Mingde Liu, Yang Shen, Qi Zhao, Yuhui Shi |
| 2020 | A Hybrid Differential Evolution Algorithm for the Online Meal Delivery Problem. Jing-Fang Chen, Shengyao Wang, Ling Wang, Jie Zheng, Ying Cha, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2020 | A Hybrid Genetic Algorithm for Sustainable Wireless Coverage of Drone Networks. Shanshan Lu, Xiao Zhang, Yu Zhou, Shilong Sun |
| 2020 | A Hybrid Methodology for the Reverse Engineering of Gene Regulatory Networks. Abhinandan Khan, Ankita Dutta, Goutam Saha, Rajat Kumar Pal |
| 2020 | A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero |
| 2020 | A Hybrid TLBO-Particle Filter Algorithm Applied to Remaining Useful Life Prediction in the Presence of Multiple Degradation Factors. Leonardo Ramos Rodrigues, Daniel B. P. Coelho, João Paulo Pordeus Gomes |
| 2020 | A Kriging-Assisted Evolutionary Algorithm Using Feature Selection for Expensive Sparse Multi-Objective optimization. Zheng Tan, Handing Wang |
| 2020 | A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz |
| 2020 | A Many-Objective optimization Approach for Complexity-based Data set Generation. Thiago R. Fraça, Péricles B. C. Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento |
| 2020 | A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. Guanqiang Gao, Yi Mei, Bin Xin, Ya-Hui Jia, Will N. Browne |
| 2020 | A Modified Matrix Adaptation Evolution Strategy with Restarts for Constrained Real-World Problems. Michael Hellwig, Hans-Georg Beyer |
| 2020 | A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. Conor Fahy, Fabio Caraffini, Mario Gongora |
| 2020 | A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2020 | A Multi-Population Exploration-only Exploitation-only Hybrid on CEC-2020 Single Objective Bound Constrained Problems. Antonio Bolufé Röhler, Stephen Chen |
| 2020 | A Multi-Start Algorithm and a Large Neighborhood Search for a Maritime Inventory Routing Problem. Marcelo Wuttig Friske, Luciana S. Buriol |
| 2020 | A Multi-constraint Handling Techniquebased Niching Evolutionary Algorithm for Constrained Multi-objective optimization Problems. Zixu Wang, Jingxuan Wei, Yi Zhang |
| 2020 | A New Distance Diffusion Algorithm for a Path-Planning Model based on Cellular Automata. Samuel C. S. Nametala, Luiz G. A. Martins, Gina M. B. Oliveira |
| 2020 | A New Method for Generating and Indexing Reference Points in Many Objective Optimisation. Kai Eivind Wu, George Panoutsos |
| 2020 | A Novel Archive Maintenance for Adapting Weight Vectors in Decomposition-based Multi-objective Evolutionary Algorithms. Guang Peng, Katinka Wolter |
| 2020 | A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao |
| 2020 | A Novel Center-based Differential Evolution Algorithm. Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan |
| 2020 | A Novel Differential Evolution Algorithm with Q-Learning for Economical and Statistical Design of X-Bar Control Charts. Ahmad Abdulla Al-Buenain, Damla Kizilay, Ozge Buyukdagli, Mehmet Fatih Tasgetiren |
| 2020 | A Novel Formulation for Multi-objective optimization of General Finite Single-Server Queueing Networks. Gabriel L. Souza, Anderson Ribeiro Duarte, Gladston J. P. Moreira, Frederico R. B. Cruz |
| 2020 | A Novel General Variable Neighborhood Search through Q-Learning for No-Idle Flowshop Scheduling. Hande Öztop, Mehmet Fatih Tasgetiren, Levent Kandiller, Quan-Ke Pan |
| 2020 | A Novel Grid-based Crowding Distance for Multimodal Multi-objective Optimization. Mahrokh Javadi, Cristian Ramírez-Atencia, Sanaz Mostaghim |
| 2020 | A Novel Multi-objective Cultural Algorithm Embedding Five-Element Cycle Optimization. Zhengyan Mao, Yue Xiang, Yijie Zhang, Mandan Liu |
| 2020 | A Novel Velocity Reinforced Mechanism on Improving Particle Swarm optimization for Ill-conditioned Problems. Fengyang Sun, Chunxiuzi Liu, Linping Wu, Lin Wang, Shuangrong Liu, Bo Yang |
| 2020 | A Parallel Evolutionary System for Multi-objective Optimisation. Mohammad Hamdan, Günter Rudolph, Nicola Hochstrate |
| 2020 | A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França |
| 2020 | A Practical Tuner based on Opposite Information. Nicolás Rojas-Morales, María Cristina Riff |
| 2020 | A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. Aurora Esteban, Amelia Zafra, Sebastián Ventura |
| 2020 | A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. Xavier Sánchez, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín |
| 2020 | A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín |
| 2020 | A Region Adaptive Image Classification Approach Using Genetic Programming. Qinglan Fan, Bing Xue, Mengjie Zhang |
| 2020 | A Reinforcement Learning Hyper-heuristic for the optimisation of Flight Connections. Yaroslav Pylyavskyy, Ahmed Kheiri, Leena N. Ahmed |
| 2020 | A Review and Empirical Analysis of Particle Swarm optimization Algorithms for Dynamic Multi-Modal optimization. Simon Dennis, Andries P. Engelbrecht |
| 2020 | A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms. Julian Blank, Kalyanmoy Deb |
| 2020 | A Self-Adaptive Hybrid Algorithm for Planning City Air Terminals. Hang Zhou, Jun Zhou, Sheng-Hao Gu, Tianqi Wang, Xiao-Bing Hu |
| 2020 | A Simulation-Based Approach to Multi-Item Multi-Echelon Spare Parts Inventory System optimization with Variable Warehouse Roles. Daniel B. P. Coelho, Wlamir Olivares Loesch Vianna, Leonardo Ramos Rodrigues |
| 2020 | A Study of Fitness Landscapes for Neuroevolution. Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi |
| 2020 | A Surrogate-Assisted Clustering Particle Swarm Optimizer for Expensive Optimization Under Dynamic Environment. Yuanchao Liu, Jianchang Liu, Tianzi Zheng, Yongkuan Yang |
| 2020 | A Surrogate-Assisted Offspring Generation Method for Expensive Multi-objective optimization Problems. Fan Li, Liang Gao, Weiming Shen, Xiwen Cai, Shifeng Huang |
| 2020 | A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization. Dandan Tang, Yu-Ping Wang, Xiangjuan Wu, Yiu-ming Cheung |
| 2020 | A Symmetric grammar approach for designing segmentation models. Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana |
| 2020 | A Systems Approach to Real-World Deployment of Industrial Internet of Things. Tushar Semwal, Simona Aracri, Alistair C. McConnell, Mohammed E. Sayed, Adam A. Stokes |
| 2020 | A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2020 | A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. Jair Pereira Junior, Claus Aranha, Tetsuya Sakurai |
| 2020 | A Two-phase Evolutionary Algorithm for Solving the Accuracy-diversity Dilemma in Recommendation. Zhipeng Hou, Jing Liu |
| 2020 | A Two-stage Algorithm for Fuzzy Online Order Dispatching Problem. Jie Zheng, Shengyao Wang, Ling Wang, Jingfang Chen, Li Wang, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2020 | A Unified Automated Innovization Framework Using Threshold-based Clustering. Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | A biased random-key genetic algorithm using dotted board model for solving two-dimensional irregular strip packing problems. Bonfim Amaro Júnior, Rodrigo Lima da Costa, Plácido Rogério Pinheiro, Luiz Jonatã Pires de Araújo, Alexandr Grichshenko |
| 2020 | A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. Leonardo de Lima Correa, Luciana Arantes, Pierre Sens, Mario Inostroza-Ponta, Márcio Dorn |
| 2020 | A fitness dependent salp swarm algorithm. Danilo Pelusi, Raffaele Mascella, Luca G. Tallini |
| 2020 | A heuristic algorithm for districting problems with similarity constraints. Alex Gliesch, Marcus Ritt, Arthur H. S. Cruz, Mayron César O. Moreira |
| 2020 | A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. Man-Fai Leung, Sin Chun Ng |
| 2020 | A hybrid heuristic for districting problems with routing criteria. Alex Gliesch, Marcus Ritt, Arthur H. S. Cruz, Mayron César O. Moreira |
| 2020 | A parallel whale optimization algorithm and its implementation on FPGA. Qiangqiang Jiang, Yuanjun Guo, Zhile Yang, Xianyu Zhou |
| 2020 | A preference-based multi-objective demand response mechanism. Igor Rafael Santos da Silva, Jose Eduardo Almeida de Alencar, Ricardo de A. L. Rabêlo |
| 2020 | A probabilistic optimization approach to deal with uncertainties in model calibration. Nicolas Poiron-Guidoni, Paul-Antoine Bisgambiglia |
| 2020 | A real-coded evolutionary algorithm-based registration approach for forensic identification using the radiographic comparison of frontal sinuses. Óscar Gómez, Pablo Mesejo, Óscar Ibáñez, Andrea Valsecchi, Oscar Cordón |
| 2020 | A sensitivity analysis indicator to adapt the shift length in a metaheuristic. Peio Loubière, Astrid Jourdan, Patrick Siarry, Rachid Chelouah |
| 2020 | Adaptive Guidance-based Differential Evolution with Iterative Feedback Archive Strategy for Multimodal optimization Problems. Hong Zhao, Zhi-Hui Zhan, Jun Zhang |
| 2020 | Adaptive Large Neighborhood Search for Vehicle Routing Problem with Cross-Docking. Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu |
| 2020 | Adaptive Multi-scale Quantum Harmonic Oscillator Algorithm Based on Evolutionary Strategy. Xinggui Ye, Peng Wang |
| 2020 | Adaptive Population Differential Evolution with Dual Control Strategy for Large-Scale Global optimization Problems. Xin Zhang, Zhi-Hui Zhan, Jun Zhang |
| 2020 | Adaptive Structural Hyper-Parameter Configuration by Q-Learning. Haotian Zhang, Jianyong Sun, Zongben Xu |
| 2020 | Alternative Representations for Codifying Solutions in Permutation-Based Problems. Mikel Malagón, Ekhine Irurozki, Josu Ceberio |
| 2020 | An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem. Jianping Dong, Haina Rong, Ferrante Neri, Qiang Yang, Ming Zhu, Gexiang Zhang |
| 2020 | An Adaptive Water Wave Optimization Algorithm with Enhanced Wave Interaction. Yangyan Xu, Chenxin Wu, Bingbing Jiang, Weiguo Sheng |
| 2020 | An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. Benjamin P. Evans, Bing Xue, Mengjie Zhang |
| 2020 | An Ant Colony Optimisation Based Heuristic for Mixed-model Assembly Line Balancing with Setups. Dhananjay R. Thiruvady, Asef Nazari, Atabak Elmi |
| 2020 | An Assignment Problem Formulation for Dominance Move Indicator. Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth F. Wanner |
| 2020 | An Automatic Algorithm Configuration based on a Bayesian Network. Marcelo Branco do Nascimento, Antonio Augusto Chaves |
| 2020 | An Effective Iterated Greedy Algorithm for Online Route Planning Problem. Xing Wang, Shengyao Wang, Ling Wang, Huan-yu Zheng, Jinghua Hao, Renqing He, Zhizhao Sun |
| 2020 | An Effective Search Economics Based Algorithm for Feature Selection. Cheng-Chia Huang, Ming-Chao Chiang |
| 2020 | An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering. Luciano D. S. Pacífico, Teresa Bernarda Ludermir |
| 2020 | An Experimental Study of Prediction Methods in Robust optimization Over Time. Matthew Fox, Shengxiang Yang, Fabio Caraffini |
| 2020 | An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. Junjie Jiang, Xifan Yao, Erfu Yang, Jorn Mehnen, Hongnian Yu |
| 2020 | An Improved Discrete Particle Swarm Optimization for Airline Crew Rostering Problem. Ruozhen Zheng |
| 2020 | An Improved MOEA/D Algorithm for the Carbon Black Production Line Static and Dynamic Multiobjective Scheduling Problem. Yao Wang, Zhiming Dong, Tenghui Hu, Xianpeng Wang |
| 2020 | An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE. Ashkan Tashk, Esmaeil S. Nadimi |
| 2020 | An Iterated Local Search Algorithm for the Clonal Deconvolution Problem. Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie |
| 2020 | An Iterated Local Search Approach to Solve the Milk Collection Problem With Blending. Jorge Villagrán, Elizabeth Montero, Germán Paredes-Belmar |
| 2020 | An Overlapping Community Detection Based Multi-Objective Evolutionary Algorithm for Diversified Social Influence Maximization. Lei Zhang, Fengiiao Sun, Fan Cheng, Haiping Ma, Xiaoyan Sun |
| 2020 | An adaptive constraint-handling approach for optimization problems with expensive objective and constraints. Jiaxiang Yi, Yuansheng Cheng, Jun Liu |
| 2020 | An efficient genetic algorithm for the train scheduling problem with fleet management. Claudio Sanhueza, Alexandre Mendes, Martin Jackson, Riley Clement |
| 2020 | An evolutionary algorithm for selection of test cases. Miguel Benito-Parejo, Mercedes G. Merayo |
| 2020 | An optimised ensemble for antibody-mediated rejection status prediction in kidney transplant patients. Mariel Barbachan e Silva, Pilib Ó Broin |
| 2020 | Analysis of Structural Complexity Features for Music Genre Recognition. Philipp Ginsel, Igor Vatolkin, Günter Rudolph |
| 2020 | Analytic Continued Fractions for Regression: Results on 352 datasets from the physical sciences. Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque |
| 2020 | Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. Jakob Bossek, Pascal Kerschke, Heike Trautmann |
| 2020 | Applying Genetic Programming to Improve Interpretability in Machine Learning Models. Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva |
| 2020 | Asynchronous bio-inspired tuning for the DC motor speed controller with simultaneous identification and predictive strategies. Alejandro Rodríguez-Molina, Miguel Gabriel Villarreal-Cervantes, Omar Serrano-Pérez |
| 2020 | Atrributed Graph Embedding Based on Multiobjective Evolutionary Algorithm for Overlapping Community Detection. Xiangyi Teng, Jing Liu |
| 2020 | AutoChef: Automated Generation of Cooking Recipes. Hajira Jabeen, Jonas Weinz, Jens Lehmann |
| 2020 | Automated Machine Learning for Information Retrieval in Scientific Articles. Hojjat Rakhshani, Bastien Latard, Mathieu Brévilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder, Lhassane Idoumghar |
| 2020 | BSO-AL: Brain Storm Optimization Algorithm with Adaptive Learning Strategy. Yang Shen, Jian Yang, Shi Cheng, Yuhui Shi |
| 2020 | BSOGCN: Brain Storm Optimization Graph Convolutional Networks Based Heterogeneous Information Networks Embedding. Liang Qu, Huaisheng Zhu, Yuhui Shi |
| 2020 | Balancing the Influence of Evolutionary Operators for Global optimization. Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu |
| 2020 | Behavior of Bioinspired Algorithms in Parallel Island Models. Lucas A. da Silveira, José Luis Soncco-Álvarez, Thaynara A. de Lima, Mauricio Ayala-Rincón |
| 2020 | Behavior-based Speciation in Classification with NeuroEvolution. Evgenia Papavasileiou, Jan Cornelis, Bart Jansen |
| 2020 | Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges. Ramses Sala, Ralf Müller |
| 2020 | Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges. Ramses Sala, Ralf Müller |
| 2020 | Boundary Constraint-Handling Methods in Differential Evolution for Mechanical Design Optimization. Sebastián-José de-la-Cruz-Martínez, Efrén Mezura-Montes |
| 2020 | Brain Storm Robotics: An Automatic Design Framework for Multi-Robot Systems. Jian Yang, Yang Shen, Yuhui Shi |
| 2020 | Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem. Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Mathieu Brévilliers, Lhassane Idoumghar |
| 2020 | COLSHADE for Real-World Single-Objective Constrained optimization Problems. Javier Gurrola-Ramos, Arturo Hernández Aguirre, Oscar Dalmau Cedeño |
| 2020 | Can Single Solution Optimisation Methods Be Structurally Biased? Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck |
| 2020 | Cartesian Genetic Programming Hyper-Heuristic with Parameter Configuration for Production Lot-Sizing. Luis Filipe de Araujo Pessoa, Bernd Hellingrath, Fernando Buarque de Lima Neto |
| 2020 | Chaotic Quantum-inspired Evolutionary Algorithm: enhancing feature selection in BCI. Alimed Celecia Ramos, Marley M. B. R. Vellasco |
| 2020 | Class Dependent Feature Construction as a Bi-level optimization Problem. Marwa Hammami, Slim Bechikh, Mohamed Makhlouf, Chih-Cheng Hung, Lamjed Ben Said |
| 2020 | Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2020 | Clustering Julia Set Examples to Enhance Evolution of Fractal Parameters. Andrew Dong, Daniel A. Ashlock |
| 2020 | Clustering based Adaptive Differential Evolution for Numerical Optimization. Bilal, Millie Pant, Garima Vig |
| 2020 | Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems. Zhihao Zhao, Fangqing Gu, Yiu-ming Cheung |
| 2020 | Coevolutionary Operations for Large Scale Multi-objective Optimization. Luis Miguel Antonio, Carlos A. Coello Coello, Mario A. Ramírez Morales, Silvia B. González-Brambila, Josué Figueroa González, Ma. Guadalupe Castillo Tapia |
| 2020 | Coevolutive clustering algorithm for large datasets. Fábio Fabris, Diego Luchi, Flávio Miguel Varejão |
| 2020 | Combining Evolutionary Mutation Testing with Random Selection. Lorena Gutiérrez-Madroñal, Antonio García-Domínguez, Inmaculada Medina-Bulo |
| 2020 | Community-Grouping Based Particle Swarm optimisation Algorithm for Feature Selection. Jianfeng Qiu, Jiangchuan Wan, Lei Zhang, Fan Cheng, Yongkang Luo |
| 2020 | Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming. Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong, Liang Feng |
| 2020 | Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory: A Case Study. Kei Nishihara, Masaya Nakata |
| 2020 | Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility. Bruno Canizes, João P. Soares, Fernando Lezama, Zita A. Vale |
| 2020 | Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2020 | Cooperative-Coevolution-CMA-ES with Two-Stage Grouping. Dani Irawan, Boris Naujoks, Michael Emmerich |
| 2020 | Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach. Ferrante Neri, Yuyang Zhou |
| 2020 | Cryptanalysis of RSA: Integer Prime Factorization Using Genetic Algorithms. Emilia Rutkowski, Sheridan K. Houghten |
| 2020 | DISH-XX Solving CEC2020 Single Objective Bound Constrained Numerical optimization Benchmark. Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy, Ales Zamuda |
| 2020 | Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming. Jiandong Liu, Ruibin Bai, Zheng Lu, Peiming Ge, Uwe Aickelin, Daoyun Liu |
| 2020 | Decision Space Coverage of Random Walks. Ryan Dieter Lang, Andries P. Engelbrecht |
| 2020 | Decision making for two learning agents acting like human agents : A proof of concept for the application of a Learning Classifier Systems. Tobias Jordan, Philippe De Wilde, Fernando Buarque de Lima Neto |
| 2020 | Deep Social Learning in Dynamic Environments Using Subcultures and Auctions With Cultural Algorithms. Leonard Kinnaird-Heether, Robert G. Reynolds |
| 2020 | DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben H. H. Juurlink, Reza Akbari |
| 2020 | Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution strategies for Distribution System State Estimation using Just-in-time Modeling and Correntropy in Power Systems. Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto |
| 2020 | Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach. Alfeu Uzai Tavares, Márcio Dorn |
| 2020 | Development of offshore maintenance service scheduling system with workers allocation. Guilherme Angelo Leite, Marley Maria Bernardes Rebuzzi Vellasco |
| 2020 | Different Approaches to Multi-Objective Sparse Array Problem with Social Network optimization. Alessandro Niccolai, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich |
| 2020 | Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem. Ismail M. Ali, Daryl Essam, Kathryn Kasmarik |
| 2020 | Differential Evolution Algorithm for Single Objective Bound-Constrained Optimization: Algorithm j2020. Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic |
| 2020 | Differential Evolution variants combined in a Hybrid Dynamic Island Model. Grasiele Regina Duarte, Beatriz Souza Leite Pires de Lima |
| 2020 | Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action. Azam Asilian Bidgoli, Steven Trumble, Shahryar Rahnamayan |
| 2020 | Discovering Unmodeled Components in Astrodynamics with Symbolic Regression. Matteo Manzi, Massimiliano Vasile |
| 2020 | Distributed On-line Learning in Swarm Robotics with Limited Communication Bandwidth. Nicolas Fontbonne, Olivier Dauchot, Nicolas Bredèche |
| 2020 | Does it matter how well I know what you're thinking? Opponent Modelling in an RTS game. James Goodman, Simon Lucas |
| 2020 | Dual Inheritance Evolution Strategy for Deep Neural Network Optimization. Kent Hino, Yusuke Kimura, Yue Dong, Takahiro Shinozaki |
| 2020 | Dynamic Multi Objective Particle Swarm optimization with Cooperative Agents. Najwa Kouka, Raja Fdhila, Amir Hussain, Adel M. Alimi |
| 2020 | Dynamic Normalization in MOEA/D for Multiobjective optimization. Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan |
| 2020 | Dynamic Self-Organising Swarm for Unsupervised Prototype Generation. Su Nguyen, Binh Tran, Damminda Alahakoon |
| 2020 | Dynamic programming operators for the bi-objective Traveling Thief Problem. Roberto Santana, Siddhartha Shakya |
| 2020 | EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization. Lorenzo Federici, Boris Benedikter, Alessandro Zavoli |
| 2020 | Edge Assembly Crossover with Tabu for Traveling Salesman Problem. Maaki Sakai, Yoshiko Hanada, Yukiko Orito |
| 2020 | Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2020 | Eigenvector Crossover in jDE100 Algorithm. Petr Bujok, Patrik Kolenovsky, Vladimir Janisch |
| 2020 | Empirical Analysis of 1-edit Degree Patches in Syntax-Based Automatic Program Repair. Piotr Dziurzanski, Simos Gerasimou, Dimitrios S. Kolovos, Nicholas Matragkas |
| 2020 | Endmember Selection of Hyperspectral Images based on Evolutionary Multitask. Yizhe Zhao, Hao Li, Yue Wu, Shanfeng Wang, Maoguo Gong |
| 2020 | Energy Efficient Virtual Machine Consolidation Using Water Wave Optimization. Rambabu Medara, Ravi Shankar Singh, U. Selva Kumar, Suraj Barfa |
| 2020 | Energy and Complexity in Evolving Collective Robot Bodies and Brains. Scott Hallauer, Geoff Nitschke |
| 2020 | Enhanced Interactive Estimation of Distribution Algorithms with Attention Mechanism and Restricted Boltzmann Machine. Lin Bao, Xiaoyan Sun, Dunwei Gong, Yong Zhang, Biao Xu |
| 2020 | Enhancing Artificial Bee Colony Algorithm with Dynamic Best Neighbor-guided Search Strategy. Qiyu Cai, Xinyu Zhou, AnQuan Jie, Maosheng Zhong, Mingwen Wang, Hui Wang, Hu Peng |
| 2020 | Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems. Saber M. Elsayed, Ruhul A. Sarker, Noha M. Hamza, Carlos A. Coello Coello, Efrén Mezura-Montes |
| 2020 | Enhancing Prediction in Cyclone Separators through Computational Intelligence. Oluwaseyi Ogun, Mbetobong Enoh, Georgina Cosma, Aboozar Taherkhani, Vincenzo Madonna |
| 2020 | Enhancing the Robustness of Airport Networks By Removing Links. Qing Cai, Haojie Ang, Sameer Alam, Chunyao Ma, Vu N. Duong |
| 2020 | Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. Unai Garciarena, Alexander Mendiburu, Roberto Santana |
| 2020 | Estimating Low Frequency Oscillation using Bacterial Swarm Algorithm with Local Probability Likelihood Approach. Wanyu Ye, Yuefeng Guo, Tianyao Ji, Mengshi Li |
| 2020 | Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems. Ali Wagdy Mohamed, Anas A. Hadi, Ali Khater Mohamed, Noor H. Awad |
| 2020 | Evolution of Cellular Automata with Conditionally Matching Rules for Image Filtering. Michal Bidlo |
| 2020 | Evolution of Complex Coordinated Behavior. Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen |
| 2020 | Evolution of Convolution Neural Network Architectures using Genetic Algorithm. Aadi Swadipto Mondal |
| 2020 | Evolutionary Air-Conditioning optimization Using an LSTM-Based Surrogate Evaluator. Yoshihiro Ohta, Takafumi Sasakawa, Hiroyuki Sato |
| 2020 | Evolutionary Algorithm with Non-parametric Surrogate Model for Tensor Program optimization. Ioannis Gatopoulos, Romain Lepert, Auke J. Wiggers, Giovanni Mariani, Jakub M. Tomczak |
| 2020 | Evolutionary Algorithms for the Traveling Salesman with Multiple Passengers and High Occupancy Problem. Ranmsés Emanuel Martins Bastos, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Matheus da Silva Menezes |
| 2020 | Evolutionary Approach to Collectible Arena Deckbuilding using Active Card Game Genes. Jakub Kowalski, Radoslaw Miernik |
| 2020 | Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions. Wenjie Liu, Wenjian Luo, Xin Lin, Miqing Li, Shengxiang Yang |
| 2020 | Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings. Igor Vatolkin |
| 2020 | Evolutionary Automation of Coordinated Autonomous Vehicles. Chien-Lun Huang, Geoff Nitschke |
| 2020 | Evolutionary Design of Hash Functions for IPv6 Network Flow Hashing. David Grochol, Lukás Sekanina |
| 2020 | Evolutionary Graph Compression and Diffusion Methods for City Discovery in Role Playing Games. Joseph Alexander Brown, Daniel A. Ashlock, Sheridan K. Houghten, Angelo Romualdo |
| 2020 | Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. Wenjun Wang, Wei Pang, Paul A. Bingham, Mania Mania, Tzu-yu Chen, Justin J. Perry |
| 2020 | Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi |
| 2020 | Evolutionary algorithms for the Traveling Car Renter with Passengers. Gustavo de Araujo Sabry, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Matheus da Silva Menezes, José Gomes Lopes Filho |
| 2020 | Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming. Takfarinas Saber, Shen Wang |
| 2020 | Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. Jakub Husa, Lukás Sekanina |
| 2020 | Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei |
| 2020 | Evolving Dynamically Reconfiguring UAV-hosted Mesh Networks. Rahul Dubey, Sushil J. Louis, Shamik Sengupta |
| 2020 | Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling. Su Nguyen, Dhananjay R. Thiruvady |
| 2020 | Evolving Neural Networks through a Reverse Encoding Tree. Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér |
| 2020 | Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata. Anthony D. Rhodes |
| 2020 | Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. Finn Schofield, Andrew Lensen |
| 2020 | Evolving complex yet interpretable representations: application to Alzheimer's diagnosis and prognosis. Jean-Philippe Kröll, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil |
| 2020 | Exact Signed Modularity Density Maximization Solutions and Their Real Meaning Rafael de Santiago, Luís C. Lamb |
| 2020 | Examination of Annealing Schedules for RNA Design. Ryan McBride, Herbert H. Tsang |
| 2020 | Explaining Symbolic Regression Predictions. Renato Miranda Filho, Anísio Lacerda, Gisele L. Pappa |
| 2020 | Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. Fernando Garza-Santisteban, Ivan Amaya, Jorge Cruz, José Carlos Ortiz-Bayliss, Ender Özcan, Hugo Terashima-Marín |
| 2020 | Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. Daniel Cinalli, Luis Martí, Nayat Sánchez-Pi, Ana Cristina Bicharra Garcia |
| 2020 | Feasibility of Genetic Programming for the Optimization of Tissue-Type-Segmented Maps in the Generation of Synthetic CT in Radiation Therapy Treatment Planning. Matthew Witten, Owen Clancey |
| 2020 | Feature Extraction of Fourier Infrared Signals from Pyrolysis Products based on ZCA and PSO. Yantai Lin, Xiaowei Song, Tianyao Ji, Mengshi Li |
| 2020 | Feature Selection using Evolutionary Computation Techniques for Software Product Line Testing. Alfredo Ibias, Luis Llana |
| 2020 | Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve |
| 2020 | Fitness Landscape Analysis Metrics based on Sobol Indices and Fitness- and State-Distributions. Christoph Waibel, Georgios Mavromatidis, Yong-Wei Zhang |
| 2020 | GPU Accelerated Genetic Algorithm with Sequence-based Clustering for Ordered Problems. Ryoma J. Ohira, Md. Saiful Islam |
| 2020 | Gait Model Analysis of Parkinson's Disease Patients under Cognitive Load. James Alexander Hughes, Sheridan K. Houghten, Joseph Alexander Brown |
| 2020 | Generating Tree Inputs for Testing using Evolutionary Computation Techniques. David Griñán, Alfredo Ibias |
| 2020 | Generative Adversarial Network Rooms in Generative Graph Grammar Dungeons for The Legend of Zelda. Jake Gutierrez, Jacob Schrum |
| 2020 | Genetic Algorithm Applied in UAV's Path Planning. Gustavo de Moura Souza, Claudio Fabiano Motta Toledo |
| 2020 | Genetic Improvement of Genetic Programming. William B. Langdon |
| 2020 | Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2020 | Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. Jericho Jackson, Yi Mei |
| 2020 | Genetic Programming for Domain Adaptation in Product Reviews. Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch |
| 2020 | Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor |
| 2020 | Genetic Programming-Based Feature Learning for Facial Expression Classification. Ying Bi, Bing Xue, Mengjie Zhang |
| 2020 | Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions. Thu Huong Nguyen, Andrea G. B. Tettamanzi |
| 2020 | Group Composition for Collaborative Learning With Distributed Leadership in MOOCs Using Particle Swarm optimization. Matheus R. D. Ullmann, Deller FJames, Celso G. Camilo-Junior, Tiago do Carmo Nogueira |
| 2020 | Handling Constrained Multi-Objective optimization with Objective Space Mapping to Decision Space Based on Extreme Learning Machine. Hao Zhang, Tao Ku, Lianbo Ma, Yibo Yong |
| 2020 | Harnessing Particle Swarm optimization Through Relativistic Velocity. Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi |
| 2020 | HeMI ++: A Genetic Algorithm based Clustering Technique for Sensible Clusters. Abul Hashem Beg, Md Zahidul Islam, Vladimir Estivill-Castro |
| 2020 | Heuristic Embedded Genetic Algorithm for Heterogeneous Project Scheduling Problems. Firoz Mahmud, Forhad Zaman, Ruhul A. Sarker, Daryl Essam |
| 2020 | Heuristic Space Diversity Measures for Population-based Hyper-heuristics. Stefan van der Stockt, Andries P. Engelbrecht, Christopher W. Cleghorn |
| 2020 | Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. Takfarinas Saber, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill |
| 2020 | High Dimensional Feature Selection Method of Dual Gbest Based on PSO. Hongbin Dong, Yuyao Pan, Jing Sun |
| 2020 | High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm. Lorenzo Gentile, Elisa Morales, Domenico Quagliarella, Edmondo A. Minisci, Thomas Bartz-Beielstein, Renato Tognaccini |
| 2020 | High-Performance Virus Detection System by using Deep Learning. Ying-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura |
| 2020 | Hybrid PSO Algorithm with Adaptive Step Search in Noisy and Noise-free Environments. Junqi Zhang, Jianqing Chen, Lei Che |
| 2020 | Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. Bo Liu, Mobayode O. Akinsolu, Qingfu Zhang |
| 2020 | Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou |
| 2020 | Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2020 | IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020 |
| 2020 | Identifying Parkinson's Disease Through the Classification of Audio Recording Data. James Bielby, Stefan Kuhn, Simon Colreavy-Donnelly, Fabio Caraffini, Stuart O'Connor, Zacharias A. Anastassi |
| 2020 | Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems. Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan |
| 2020 | Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. Santiago Gonzalez, Risto Miikkulainen |
| 2020 | Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart |
| 2020 | Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems. Rohit Salgotra, Urvinder Singh, Sriparna Saha, Amir H. Gandomi |
| 2020 | Improving Deep Learning based Optical Character Recognition via Neural Architecture Search. Zhenyao Zhao, Min Jiang, Shihui Guo, Zhenzhong Wang, Fei Chao, Kay Chen Tan |
| 2020 | Improving Module Identification and Use in Grammatical Evolution. Aidan Murphy, Conor Ryan |
| 2020 | Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques. Ruchika Malhotra, Kusum Lata |
| 2020 | Improving an Optical Flow Estimator Inspired by Insect Biology using Adaptive Genetic Algorithms. Phillip S. M. Skelton, Anthony Finn, Russell S. A. Brinkworth |
| 2020 | Improving evolution of service configurations for moving target defense. Ernesto Serrano Collado, Mario García Valdez, Juan Julián Merelo Guervós |
| 2020 | Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. João E. Batista, Sara Silva |
| 2020 | In Vivo Computation for Tumor Sensitization and Targeting at Different Tumor Growth Stages. Shaolong Shi, Yifan Chen, Zheng Gong, Xiaoyou Lin, Neda Sharifi, Xin Yao |
| 2020 | Incorporating Strategy Adoption into Genetic Algorithm Enabled Multi-Agent Systems. Yasinthara Madushani, Dharshana Kasthurirathna |
| 2020 | Inferring Gene Regulatory Network Models from Time-Series Data Using Metaheuristics. José Eduardo Henriques da Silva, Heder S. Bernardino, Helio José Corrêa Barbosa, Alex Borges Vieira, Luciana C. D. Campos, Itamar Leite de Oliveira |
| 2020 | Injecting Shortcuts for Faster Running Java Code. Alexander E. I. Brownlee, Justyna Petke, Anna F. Rasburn |
| 2020 | Instance Selection for Geometric Semantic Genetic Programming. Luis Fernando Miranda, Luiz Otávio Vilas Boas Oliveira, Joao Francisco Barreto da Silva Martins, Gisele L. Pappa |
| 2020 | Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. Estefania Yap, Mario A. Muñoz, Kate Smith-Miles, Arnaud Liefooghe |
| 2020 | Integrated Learning Method for Anomaly Detection Combining KLSH and Isolation Principles. Hongchun Qu, Zonglan Li, Jingjing Wu |
| 2020 | Intelligent Controllers based on Genetic Algorithms for Reducing Energy and Water Waste. Ali Moltajaei Farid, Malek Mouhoub, Javid Sharifi |
| 2020 | Investigating Optimal Regimes for Prediction in the Stock Market. Rodrigo Corbelli, Marley M. B. R. Vellasco, Álvaro Veiga |
| 2020 | Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang |
| 2020 | Knee Points based Transfer Dynamic Multi-objective optimization Evolutionary Algorithm. Zhenzhong Wang, Zhongrui Mei, Min Jiang, Gary G. Yen |
| 2020 | LSHADE with S-shape Constraint-handling Technique in Push and Pull Search for Constrained optimization Problems. Jinglei Guol, Tianpei Cheng, Zhun Fan, Xinyu Zhou |
| 2020 | Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems. Partha P. Biswas, Ponnuthurai N. Suganthan |
| 2020 | Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding. Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan |
| 2020 | Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. Paulo S. G. de Mattos Neto, Péricles B. C. Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro |
| 2020 | Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | Learning Bayesian Networks Structures with an Effective Knowledge-driven GA. Weijian Zhang, Wei Fang, Jun Sun, Qidong Chen |
| 2020 | Learning Bidding Strategies in Local Electricity Markets using Ant Colony optimization. Fernando Lezama, Ricardo Faia, João P. Soares, Pedro Faria, Zita A. Vale |
| 2020 | Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach. Chaofan Tu, Menglin Cui |
| 2020 | Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS. Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama |
| 2020 | MDEA: Malware Detection with Evolutionary Adversarial Learning. Xiruo Wang, Risto Miikkulainen |
| 2020 | MFEA-IG: A Multi-Task Algorithm for Mobile Agents Path Planning. Yongjian Zhou, Tonghao Wang, Xingguang Peng |
| 2020 | MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization. Giacomo Acciarini, Dario Izzo, Erwin Mooij |
| 2020 | MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets. Caitong Yue, Jing J. Liang, Ponnuthurai N. Suganthan, Bo-Yang Qu, Kunjie Yu, S. Liu |
| 2020 | MOEA/D with Random Partial Update Strategy. Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo |
| 2020 | MOEA/D-S Takumi Sonoda, Masaya Nakata |
| 2020 | Making an Example: Signalling Threat in the Evolution of Cooperation. Theodor Cimpeanu, The Anh Han |
| 2020 | Managing Radial Basis Functions for Evolutionary Many-Objective optimization. Jiangtao Shen, Peng Wang, Xinjing Wang |
| 2020 | Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan, Gerald Schaefer |
| 2020 | Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. Mingyang Sun, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li |
| 2020 | Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem. Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu |
| 2020 | Metaheuristics for Energy-Efficient No-Wait Flowshops: A Trade-off Between Makespan and Total Energy Consumption. Damla Yüksel, Mehmet Fatih Tasgetiren, Levent Kandiller, Quan-Ke Pan |
| 2020 | Migration in Multi-Population Differential Evolution for Many Objective Optimization. Pratyusha Rakshit, Archana Chowdhury, Amit Konar, Atulya K. Nagar |
| 2020 | Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. Naveen Saini, Sushil Kumar, Sriparna Saha, Pushpak Bhattacharyya |
| 2020 | Mitigating the Effects of External Perturbations on a Gene Regulatory Network using Feedback Controllers. Abhinandan Khan, Goutam Saha, Rajat Kumar Pal |
| 2020 | Mobile Touchless Fingerprint Acquisition And Enhancement System. Seref Sagiroglu, Mehtap Ülker, Bilgehan Arslan |
| 2020 | Modeling of synchronous weapon target assignment problem for howitzer based defense line. Okkes Tolga Altinöz |
| 2020 | Modelling of Vaccination Strategies for Epidemics using Evolutionary Computation. Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock |
| 2020 | Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | Motivating Participants in Human-based Evolutionary Computation Systems. Tomotaka Watanabe, Yunhao Zhu, Tomohiro Yoshikawa, Kei Ohnishi |
| 2020 | Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem. Pedro Henrique Narloch, Mathias J. Krause, Márcio Dorn |
| 2020 | Multi-Objective Evolutionary Optimization for Worst-Case Analysis of False Data Injection Attacks in the Smart Grid. Moshfeka Rahman, Yuanliang Li, Jun Yan |
| 2020 | Multi-Objective Optimisation of Multi-Output Neural Trees. Varun Ojha, Giuseppe Nicosia |
| 2020 | Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems. Karam M. Sallam, Saber M. Elsayed, Ripon Kumar Chakrabortty, Michael J. Ryan |
| 2020 | Multi-Scale Collaborative Fireworks Algorithm. Yifeng Li, Ying Tan |
| 2020 | Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2020 | Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities. Swagarika Jaharlal Giri, Sriparna Saha |
| 2020 | Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan |
| 2020 | Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action. S. Mostapha Kalami Heris, Shahryar Rahnamayan |
| 2020 | Multi-objective multi-factorial memetic algorithm based on bone route and large neighborhood local search for VRPTW. Zifeng Zhou, Xiaoliang Ma, Zhengping Liang, Zexuan Zhu |
| 2020 | Multi-objective optimization Model for Flexible Job Shop Scheduling Problem Considering Transportation Constraints: A Comparative Study. Dongsheng Yang, Xianyu Zhou, Zhile Yang, Qiangqiang Jiang, Wei Feng |
| 2020 | Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization. Yann-Chern Jou, Shuo-Ying Wang, Jia-Fong Yeh, Tsung-Che Chiang |
| 2020 | Multi-species Generation Strategy-Based Vegetation Evolution. Jun Yu, Hideyuki Takagi |
| 2020 | Multi/Many-Objective Optimization Via A New Preference Indicator. Lianbo Ma, Mingli Shi, Rui Wang, Shengminjie Chen, Junfei Zhao, Xiaolong Shen |
| 2020 | Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera |
| 2020 | Multifactorial Evolutionary Algorithm for Inter-Domain Path Computation under Domain Uniqueness Constraint. Huynh Thi Thanh Binh, Ta Bao Thang, Nguyen Binh Long, Ngo Viet Hoang, Pham Dinh Thanh |
| 2020 | Multifactorial Genetic Fuzzy Data Mining for Building Membership Functions. Ting-Chen Wang, Rung-Tzuo Liaw |
| 2020 | Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images. Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey |
| 2020 | Multimodal fake news detection using a Cultural Algorithm with situational and normative knowledge. Priyanshi Shah, Ziad Kobti |
| 2020 | Multimodal optimization for the Trajectory Planning of Railway Vehicles. Lukas Pröhl, Harald Aschemann |
| 2020 | Multiobjective Neuromodulated Controllers for Efficient Autonomous Vehicles with Mass and Drag in the Pursuit-Evasion Game. Ian Showalter, Howard Schwartz |
| 2020 | NP-hardness and evolutionary algorithm over new formulation for a Target Set Selection problem. Santiago Valdés Ravelo, Cláudio N. Meneses, Eduardo A. J. Anacleto |
| 2020 | Necrotic Control of the Aesthetics of Evolved Art. Daniel A. Ashlock, Julie Greensmith |
| 2020 | Neural Networks for Surrogate-assisted Evolutionary optimization of Chemical Processes. Tim Janus, Anne Lüubbers, Sebastian Engell |
| 2020 | Neural-Guided Particle Swarm optimization. Amani M. Benhalem, Michael A. Lones |
| 2020 | Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. Ting Huang, Yue-Jiao Gong, Xiaoyan Li, Xiao-Min Hu, Jun Zhang |
| 2020 | Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms. Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato |
| 2020 | Novel Multi-objecitve Evolutionary Algorithm for Color Filter Arrays Design. Lingchen Sun, Lin Li, Bin Feng, Quan Pan |
| 2020 | Novelty Search for Shape Descriptors. Simon J. Hickinbotham, Romicronisín McConnell, Imelda Friel, Mark Price, Wei Zhang, Andy M. Tyrrell |
| 2020 | Oil Palm Detection via Deep Transfer Learning. Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora |
| 2020 | On Improvements of the Human Mental Search Algorithm for Global Optimisation. Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin |
| 2020 | On The Role Of Execution Order In Hybrid Evolutionary Algorithms. Antonio LaTorre, Daniel Molina |
| 2020 | On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han |
| 2020 | On the Parameterization of Cartesian Genetic Programming. Paul Kaufmann, Roman Kalkreuth |
| 2020 | On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem. Saúl Zapotecas Martínez, Adriana Menchaca-Méndez |
| 2020 | On the Scalable Multi-Objective Multi-Agent Pathfinding Problem. Jens Weise, Sebastian Mai, Heiner Zille, Sanaz Mostaghim |
| 2020 | On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm. Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo Ramos Rodrigues |
| 2020 | One-stage and Dual-heuristic Particle Swarm optimization for Virtual Network Embedding. An Song, Wei-Neng Chen, Xiao-Min Hu |
| 2020 | Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems. Changwu Huang, Yuanxiang Li, Xin Yao |
| 2020 | Online intensification of search around solutions of interest for multi/many-objective optimization. Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, Tobias Rodemann, Markus Olhofer |
| 2020 | Opinion dissemination in a swarm of simulated robots with stubborn agents: a comparative study. Guillaume Maître, Elio Tuci, Eliseo Ferrante |
| 2020 | Optimal Allocation and Sizing of Distributed Generation for Loss Minimization using a Multi-Population Genetic Algorithm. Alessandro Wilk Silva Almeida, Claudio Fabiano Motta Toledo, Márcio da Silva Arantes |
| 2020 | Optimal sizing of a standalone renewable energy reverse osmosis desalination system using an ant system. Daming Xu, Thomas L. Acker |
| 2020 | Optimising Antibiotic Treatments with Multi-objective Population-based Algorithms. Mila Goranova, Marco A. Contreras-Cruz, Andrew Hoyle, Gabriela Ochoa |
| 2020 | Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm. Mohammad Reza Chalak Qazani, Seyed Mohammad Jafar Jalali, Houshyar Asadi, Saeid Nahavandi |
| 2020 | Optimizing Charging Locations and Charging Time for Energy Depletion Avoidance in Wireless Rechargeable Sensor Networks. Tran Thi Huong, Huynh Thi Thanh Binh, Phi-Le Nguyen, Doan Cao Thanh Long, Vuong Dinh An, Le Trong Vinh |
| 2020 | Optimizing LSTM Based Network For Forecasting Stock Market. Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Hossein Amirinia, Sakib Ahmed |
| 2020 | Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach. Jeovane Honório Alves, Lucas Ferrari de Oliveira |
| 2020 | Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution. Miao Zheng, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui |
| 2020 | PSO-based Optimal Formation of Multiple Biomimetic Underwater Vehicles. Rui Wang, Ge Bai, Shuo Wang, Yu Wang, Min Tan |
| 2020 | Parallel Differential Evolution Algorithms for Stackelberg-Nash Bilevel Optimization Problems. Thiago Magalhães, Helio J. C. Barbosa |
| 2020 | Parallel and Distributed MOEA/D with Exclusively Evaluated Mating and Migration. Yuji Sato, Mikiko Sato, Mads A. Midtlyng, Minami Miyakawa |
| 2020 | Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids. Zedong Zheng, Shengxiang Yang |
| 2020 | Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. Bin Wang, Bing Xue, Mengjie Zhang |
| 2020 | Particle Swarm optimization with pbest Perturbations. Stephen Chen, Imran Abdulselam, Naeeme YadollahPour, Yasser González-Fernández |
| 2020 | Path Planning of UAVs Under Dynamic Environment based on a Hierarchical Recursive Multiagent Genetic Algorithm. Qiansheng Yang, Jing Liu, Liqiang Li |
| 2020 | Pattern searcher for decision making of trading agents using Genetic Algorithm. Felipe V. Cacique, Adriano C. M. Pereira |
| 2020 | Pedagogical Evolved Art: An Examination and Results of the Innopolis Al Art Contest. Joseph Alexander Brown, Hamna Aslam, Daria Miklashevskaya, Nikita Lozhnikov |
| 2020 | Power Flow Management in Electric Vehicles Charging Station Using Reinforcement Learning. Arwa O. Erick, Komla A. Folly |
| 2020 | Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding. Antonello Rosato, Rodolfo Araneo, Massimo Panella |
| 2020 | Preliminary spacecraft design by means of Structured-Chromosome Genetic Algorithms. Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Thomas Bartz-Beielstein, Massimiliano Vasile |
| 2020 | Proposal of Adaptive Randomness in Differential Evolution. Junya Tsubamoto, Akira Notsu, Seiki Ubukata, Katsuhiro Honda |
| 2020 | Proposal of Multimodal Program optimization Benchmark and Its Application to Multimodal Genetic Programming. Tomohiro Harada, Kei Murano, Ruck Thawonmas |
| 2020 | Pyramid: A Hierarchical Approach to Scaling Down Population Size in Genetic Algorithms. Conor Ryan, Atif Rafiq, Enrique Naredo |
| 2020 | Q-Learning Induced Artificial Bee Colony for Noisy Optimization. Pratyusha Rakshit, Amit Konar, Atulya K. Nagar |
| 2020 | Quantum-Inspired Evolutionary Algorithm for Convolutional Neural Networks Architecture Search. Weiliang Ye, Ruijiao Liu, Yangyang Li, Licheng Jiao |
| 2020 | Racing Strategy for the Dynamic-Customer Location-Allocation Problem. Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway, Gilbert Owusu |
| 2020 | Radar-based Noncontact Human Activity Classification Using Genetic Programming. Julio J. Valdés, Zachary Baird, Sreeraman Rajan, Miodrag Bolic |
| 2020 | Random Walks on Local Optima Networks. Marco Tomassini |
| 2020 | Rank Based Moth Flame optimisation for Feature Selection in the Medical Application. Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh |
| 2020 | Ranked Archive Differential Evolution with Selective Pressure for CEC 2020 Numerical Optimization Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin |
| 2020 | Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy. Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui |
| 2020 | Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2020 | Revisiting Success-Histories for Adaptive Differential Evolution. Tomofumi Kitamura, Alex Fukunaga |
| 2020 | Riesz s-energy-based Reference Sets for Multi-Objective optimization. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello |
| 2020 | Robust Multi-Objective optimization using Conditional Pareto Optimal Dominance. Seyedeh Zahra Mirjalili, Stephan K. Chalup, Seyedali Mirjalili, Nasimul Noman |
| 2020 | Routing-Led Placement of VNFs in Arbitrary Networks. Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas |
| 2020 | Safety Isolating Transformer Design using HyDE-DF algorithm. João P. Soares, Fernando Lezama, Zita A. Vale, Stephane Brisset, Bruno François |
| 2020 | Scalarizing Functions in Bayesian Multiobjective Optimization. Tinkle Chugh |
| 2020 | Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection. Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen |
| 2020 | Search Economics for Single-Objective Real-Parameter optimization. Chun-Wei Tsai, Shin-Jui Liu |
| 2020 | Search Space Sampling by Simulated Annealing for Identifying Robust Solutions in Course Timetabling. Can Akkan, Ayla Gülcü, Zeki Kus |
| 2020 | Self-organizing Migrating Algorithm for the Single Row Facility Layout Problem. Pavel Krömer, Jan Platos, Václav Snásel |
| 2020 | Self-tuning Co-Operation of Biology-Inspired and Evolutionary Algorithms for Real-World Single Objective Constrained optimization. Shakhnaz Akhmedova, Vladimir Stanovov |
| 2020 | Sequential Estimation of States and Parameters of Nonlinear State Space Models Using Particle Filter and Natural Evolution Strategy. Yoshiki Kobayashi, Isao Ono |
| 2020 | Ship Design with a Morphing Evolutionary Algorithm. Ciel Thaddeus Choo, Joo Hock Ang, Simon Kuik, Louis Choo Ming Hui, Yun Li, Cindy Goh |
| 2020 | Shrinking Counterexamples in Property-Based Testing with Genetic Algorithms. Fang-Yi Lo, Chao-Hong Chen, Ying-Ping Chen |
| 2020 | Simplified Bacterial Foraging optimization Based on Reverse Chemotaxis Strategy. Jun Yu, Ben Niu |
| 2020 | Simultaneous Scheduling Strategy: A Novel Method for Flexible Job Shop Scheduling Problem. Bo Liu, Siqi Qiu, Ming Li |
| 2020 | Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera |
| 2020 | Solving a physician rostering problem. Tatiana C. Meister, Toni Ismael Wickert, Luciana S. Buriol |
| 2020 | Solving the Multiple choice Multidimensional Knapsack problem with ABC algorithm. Arij Mkaouar, Skander Htiouech, Habib Chabchoub |
| 2020 | Sports Games Modeling and Prediction using Genetic Programming. Shengkai Geng, Ting Hu |
| 2020 | Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho |
| 2020 | Stepping ahead based hybridization of meta-heuristic model for solving Global Optimization Problems. Ravneil Nand, Kaylash Chaudhary, Bibhya Sharma |
| 2020 | Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems. Xuezhou Fan, Ke Li, Kay Chen Tan |
| 2020 | Surrogate-Assisted Genetic Algorithms for the Travelling Salesman Problem and Vehicle Routing Problem. Mu-Yao Fang, Jingpeng Li |
| 2020 | Surrogate-Assisted Memetic Algorithm with Adaptive Patience Criterion for Computationally Expensive Optimization. Yunwei Zhang, Chunlin Gong, Chunna Li |
| 2020 | Survey on Applications of Multi-Armed and Contextual Bandits. Djallel Bouneffouf, Irina Rish, Charu C. Aggarwal |
| 2020 | Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure. Vaishali Ravindranath, Sasikala Ramasamy, Ramasubbareddy Somula, Kshira Sagar Sahoo, Amir H. Gandomi |
| 2020 | T-EA: A Traceable Evolutionary Algorithm. Cristian Ramírez-Atencia, Tobias Benecke, Sanaz Mostaghim |
| 2020 | Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin |
| 2020 | The Analysis of a Cooperative Hyper-Heuristic on a Constrained Real-world Many-objective Continuous Problem. Gian Mauricio Fritsche, Aurora T. R. Pozo |
| 2020 | Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann |
| 2020 | Towards a Microservices-Based Product Line with Multi-Objective Evolutionary Algorithms. Willian Douglas Ferrari Mendonça, Wesley K. G. Assunção, Lucas V. Estanislau, Silvia R. Vergilio, Alessandro Garcia |
| 2020 | Towards a Quantum based GA Search for an Optimal Artificial Neural Networks Architecture and Feature Selection to Model NOx Emissions: A Case Study. Mazen Azzam, Joseph Zeaiter, Mariette Awad |
| 2020 | Towards realistic mimicking of grey wolves hunting process for bounded single objective optimization. Ashish Mani, Anjali Jain |
| 2020 | Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space. Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen, Zhou Wu |
| 2020 | Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform. Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo |
| 2020 | Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora |
| 2020 | Transfer Learning Layer Selection Using Genetic Algorithm. Satsuki Nagae, Shin Kawai, Hajime Nobuhara |
| 2020 | Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura |
| 2020 | Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb |
| 2020 | Trust Regions in Surrogate-Assisted Local Search for Industrial Columns' Mass Transfer Efficiencies Estimation. Miaomiao Qu, Jian Wang, Xuhua Shi, Xiaoxia Chen |
| 2020 | Two Fast Heuristics for Online Order Dispatching. Qingte Zhou, Huan-yu Zheng, Shengyao Wang, Jinghua Hao, Renqing He, Zhizhao Sun, Xing Wang, Ling Wang |
| 2020 | Using Cultural Algorithms to Learn the Impact of Climate on Local Fishing Behavior in Cerro Azul, Peru. Khalid Kattan, Robert G. Reynolds |
| 2020 | Variance of particle location in the stochastic model of PSO with inertia weight. Krzysztof Wójcik, Tomasz Kulpa, Krzysztof Trojanowski |
| 2020 | Visualization Approach for Malware Classification with ResNeXt. Jin Ho Go, Tony Jan, Manoranjan Mohanty, Om Prakash Patel, Deepak Puthal, Mukesh Prasad |
| 2020 | Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization. Xupeng Wen, Guohua Wu, Mingfeng Fan, Rui Wang, Ponnuthurai Nagaratnam Suganthan |
| 2020 | WEC: Weighted Ensemble of Text Classifiers. Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall |
| 2020 | Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks. Christina Brester, Harri Niska, Robert Ciszek, Mikko Kolehmainen |
| 2020 | Which random is the best random? A study on sampling methods in Fourier surrogate modeling. Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni |