| 2021 | 3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization. Abdelrahman Elewah, Abeer A. Badawi, Haytham Khalil, Shahryar Rahnamayan, Khalid Elgazzar |
| 2021 | A Biased Random-key Genetic Algorithm with a Local Search Component for the Optimal Bucket Order Problem. Luiz Henrique Nogueira Lorena, Luiz Antonio Nogueira Lorena, Antonio Augusto Chaves |
| 2021 | A Binary NSGA-II Model for De-clustering Seismicity of Turkey and Chile. Ashish Sharma, Satyasai Jagannath Nanda, Rahul Kumar Vijay |
| 2021 | A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms. Kaelan Engholdt, H. David Mathias |
| 2021 | A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. Charlie T. Veal, Marshall B. Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price |
| 2021 | A Competition-Cooperation Evolutionary Algorithm with Bidirectional Multi-population Local Search and Local Hypervolume-based Strategy for Multi-objective Optimization. Zhou Zhou, Zuling Wang, Tingting Pang, Jing Wei, Ze Chen |
| 2021 | A Data-Driven Multi-Objective Evolutionary Algorithm Based on Combinatorial Parallel Infilling Criterion. Chunna Li, Lianbo Yang, Chunlin Gong |
| 2021 | A Differential Evolution with Multi-factor Ranking Based Parameter Adaptation for Global Optimization. Jing Wei, Zuling Wang, Yangyan Xu, Ze Chen |
| 2021 | A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control Tuning. Victor Parque |
| 2021 | A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks. Yating Cao, Jing Liu, Zhouwu Xu |
| 2021 | A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems. Hugo Monzón Maldonado, Saúl Zapotecas Martínez |
| 2021 | A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang |
| 2021 | A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. An-Da Li, Bing Xue, Mengjie Zhang |
| 2021 | A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems. Imanol Unanue, María Merino, José Antonio Lozano |
| 2021 | A Genetic Algorithm Approach to Compute Mixed Strategy Solutions for General Stackelberg Games. Srivathsa Gottipati, Praveen Paruchuri |
| 2021 | A Genetic Algorithm For Investment Tracking With Stochastic Model Predictive Control. Maísa Kely de Melo, Rodrigo T. N. Cardoso, Tales Argolo Jesus |
| 2021 | A Genetic Algorithm To Optimize Penstocks For Micro-Hydro Power Plants. Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Daniel Gutiérrez-Reina, Pablo Millán Gata |
| 2021 | A Genetic Algorithm for Scheduling Splittable Tasks with Precedence Constraints. Yuanliang Gao, Sheung-Hung Poon |
| 2021 | A Genetic Algorithm for the Nesting Problem With Continuous Rotations. Wesley H. B. Nunes, Mayron C. O. Moreira, Marina Andretta |
| 2021 | A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. Yingfang Yuan, Wenjun Wang, Wei Pang |
| 2021 | A Graph-based Approach for Shepherding Swarms with Limited Sensing Range. Reem E. Mohamed, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass |
| 2021 | A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang |
| 2021 | A Hybrid BRKGA Approach for the Two Stage Capacitated Facility Location Problem. Gabriel Souto, Igor Morais, Liss Faulhaber, Glaydston Mattos Ribeiro, Pedro Henrique González |
| 2021 | A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional Data. Ezgi Zorarpaci |
| 2021 | A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release Dates. Gaurav Srivastava, Alok Singh, Rammohan Mallipeddi |
| 2021 | A Hybrid Multiobjective Solution for the Short-term Hydro-power Dispatch Problem: a Swarm Evolutionary Approach. Carolina Gil Marcelino, Lucas B. de Oliveira, Elizabeth F. Wanner, Carla A. D. M. Delgado, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz |
| 2021 | A Knowledge Transfer-Based Evolutionary Algorithm for Multimodal Optimization. Wenhao Du, Zhigang Ren, An Chen, Hanqing Liu |
| 2021 | A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance. Junchao Fang, Wei Fang |
| 2021 | A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing Problem. Mengyi Niu, Ruochen Liu, Handing Wang |
| 2021 | A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. Junyuan Chen, Jing Liu |
| 2021 | A Modified APSODEE for Large Scale Optimization. Dongyang Li, Weian Guo, Lei Wang, Qidi Wu |
| 2021 | A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2021 | A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. Shaolin Wang, Yi Mei, Mengjie Zhang |
| 2021 | A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto |
| 2021 | A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm. Felipe Marchi, Rafael Stubs Parpinelli |
| 2021 | A Multi-objective Iterated Local Search Approach to Solve the Insular Traveling Salesman Problem. Sebastián Rodríguez-Zbinden, Elizabeth Montero, Carola Blazquez, Pablo Miranda |
| 2021 | A Multi-task Approach For Maximum Survival Ratio Problem In Large-Scale Wireless Rechargeable Sensor Networks. Le Van Cuong, Tran Thi Huong, Huynh Thi Thanh Binh |
| 2021 | A Multifactorial Evolutionary Algorithm For Minimum Energy Cost Data Aggregation Tree In Wireless Sensor Networks. Tran Cong Dao, Tran Huy Hung, Nguyen Thi Tam, Huynh Thi Thanh Binh |
| 2021 | A Multiobjective Optimization Approach for Reducing Air Traffic Collision Risk. Qing Cai, Haojie Ang, Sameer Alam |
| 2021 | A Neural Approach to Generation of Constructive Heuristics. Mohamad Alissa, Kevin Sim, Emma Hart |
| 2021 | A New Diversity Performance Indicator for Many-Objective Optimisation Problems. Kai Eivind Wu, George Panoutsos |
| 2021 | A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning. Nan-Jiang Dong, Rui Wang, Tao Zhang |
| 2021 | A New Optimization Approach for Task Scheduling Problem Using Water Cycle Algorithm in Mobile Cloud Computing. Behzad Saemi, Mehdi Sadeghilalimi, Ali Asghar Rahmani Hosseinabadi, Malek Mouhoub, Samira Sadaoui |
| 2021 | A New Step-Size Adaptation Rule for CMA-ES Based on the Population Midpoint Fitness. Eryk Warchulski, Jaroslaw Arabas |
| 2021 | A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah |
| 2021 | A Niche Based Multi-objective Particle Swarm Optimizer. Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Xinyu Zhou |
| 2021 | A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling. Zi-Xiao Pan, Ling Wang, Jing-Fang Chen, Yuting Wu |
| 2021 | A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum |
| 2021 | A Novel Sampling Method with Lévy Flight for Distribution-Based Discrete Particle Swarm Optimization. Koya Ihara, Shohei Kato |
| 2021 | A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang |
| 2021 | A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. Dawei Zhan, Huanlai Xing |
| 2021 | A Population Size Dynamic Reduction Criterion in PSO Algorithms. Samuel C. A. Basílio, Afonso C. C. Lemonge, Érica C. R. Carvalho |
| 2021 | A Random Walk Analysis of Search in Metaheuristics. Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass |
| 2021 | A Reactive Multi-agent System for Self-healing in Smart Distribution Grids. Italo Ramon da Costa Campos, Filipe Saraiva |
| 2021 | A Reduced Mixed Representation Based Multi-Objective Evolutionary Algorithm for Large-Scale Overlapping Community Detection. Yongkang Luo, Kening Zhang, Haipeng Yang, Feng Liu, Shuai Luo, Lei Zhang, Xiaoyan Sun |
| 2021 | A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang |
| 2021 | A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. Samuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín |
| 2021 | A Simulated IMO-DRSA Approach for Cognitive Reduction in Multiobjective Financial Portfolio Interactive Optimization. Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho |
| 2021 | A Survey of Advances in Evolutionary Neural Architecture Search. Xun Zhou, A. K. Qin, Yanan Sun, Kay Chen Tan |
| 2021 | A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. Wenjian Luo, Xin Lin, Jiajia Zhang, Mike Preuss |
| 2021 | A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness Constraints. Do Tuan Anh, Huynh Thi Thanh Binh, Nguyen Hoang Long, Ta Bao Thang, Simon Su |
| 2021 | A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. Kai Eivind Wu, George Panoutsos |
| 2021 | Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. Yongbo Yu, Hui Ma, Gang Chen |
| 2021 | Adaptation of Search Generations in Extreme Learning Assisted MOEA/D Based on Estimation Accuracy of Surrogate Model. Koki Tsujino, Tomohiro Harada, Ruck Thawonmas |
| 2021 | Adaptive Differential Evolution based on Exploration and Exploitation Control. Hao Bai, Changwu Huang, Xin Yao |
| 2021 | Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception. Antin Phillips, Mathys C. du Plessis |
| 2021 | Advancing Genetic Programming via Information Theory. Aleksandr V. Grin, Amir H. Gandomi |
| 2021 | Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport. Renan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb |
| 2021 | An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. Tetsuyuki Takahama, Setsuko Sakai |
| 2021 | An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment. Liang Fan, Xudong Feng, Handing Wang |
| 2021 | An Adaptive Multi-objective Multifactorial Evolutionary Algorithm Based on Mixture Gaussian Distribution. Mengfan Xu, Zexuan Zhu, Yutao Qi, Lei Wang, Xiaoliang Ma |
| 2021 | An Adaptive and Near Parameter-Free BRKGA Using Q-Learning Method. Antônio Augusto Chaves, Luiz Henrique Nogueira Lorena |
| 2021 | An Ant Colony Optimisation Inspired Crossover Operator for Permutation Type Problems. Darren M. Chitty |
| 2021 | An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. Hao Hao, Aimin Zhou, Hu Zhang |
| 2021 | An Approximation-based Chemical Reaction Algorithm for Combinatorial Multi-Objective Bi-level Optimization Problems. Malek Abbassi, Abir Chaabani, Lamjed Ben Said, Nabil Absi |
| 2021 | An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures. Liang Zhao, Wei Fang |
| 2021 | An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers. Amín V. Bernabé Rodríguez, Carlos A. Coello Coello |
| 2021 | An Ensemble of Scalarizing Functions and Weight Vectors for Evolutionary Multi-Objective Optimization. Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello |
| 2021 | An Entropy Driven Multiobjective Particle Swarm Optimization Algorithm for Feature Selection. Juanjuan Luo, Dongqing Zhou, Lingling Jiang, Huadong Ma |
| 2021 | An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. Sho Shimazu, Isao Ono |
| 2021 | An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics. Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban |
| 2021 | An Evolutionary Computation Based Model for Testing Transfer Learning Strategies. Tami Alghamdi, Robert B. Heckendorn |
| 2021 | An Evolutionary Framework for Real-Time Fraudulent Credit Detection. Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi |
| 2021 | An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2021 | An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures. Michael O'Neill, Anthony Brabazon |
| 2021 | An Exploration-only Exploitation-only Hybrid for Large Scale Global Optimization. Antonio Bolufé Röhler, Dania Tamayo-Vera |
| 2021 | An Immune-Inspired Approach to Macro-Level Neural Ensemble Search. Luc Frachon, Wei Pang, George M. Coghill |
| 2021 | An Immuno-Inspired Transfer Learning Paradigm. Divya D. Kulkarni, Shivashankar B. Nair |
| 2021 | An Improved MOEA/D Framework with Multoperator Strategies for Multi-objective Optimization Problems with a Large Scale of Variables. Zijian Cao, Chen Liu, Zhenyu Wang, Haowen Jia |
| 2021 | An Improved Weighted Optimization-based Framework for Large-scale MOPs. Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming |
| 2021 | An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem. Ismail M. Ali, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan |
| 2021 | Ant Colony System Based Drone Scheduling For Ship Emission Monitoring. Xiaosong Luo, Zhao-Hui Sun, Siqi Qiu |
| 2021 | Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) Biocurator. Laurence Rodrigues do Amaral, Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Estevam Rafael Hruschka |
| 2021 | Approximating Pareto Optimal Set by An Incremental Learning Model. Tingrui Liu, Shenmin Song, Xin Li, Liguo Tan |
| 2021 | Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems. Jian Yang, Yuhui Shi |
| 2021 | Automated Design of Unfolded Metaheuristics and the Effect of Population Size. Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay |
| 2021 | Automated Development of Latent Representations for Optimization of Sequences Using Autoencoders. Piotr Kaszuba, Maciej Komosinski, Agnieszka Mensfelt |
| 2021 | Automated Hypotheses Generation via Combinatorial Causal Optimization. Roberto Pietrantuono |
| 2021 | Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang |
| 2021 | Autonomous Monitoring System for Water Resources based on PSO and Gaussian Process. Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez-Reina, Alejandro Tapia Córdoba |
| 2021 | Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. Brian Chen, Siddhant Tandon, David J. Gorsich, Alex A. Gorodetsky, Shravan K. Veerapaneni |
| 2021 | Benchmark Set Reduction for Cheap Empirical Algorithmic Studies. Mustafa Misir |
| 2021 | Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. Arka Ghosh, Bing Xue, Mengjie Zhang |
| 2021 | Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr |
| 2021 | Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. Jorge Alvarado, J. Manuel Velasco, Francisco Chávez de la O, José Ignacio Hidalgo, Francisco Fernández de Vega |
| 2021 | Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang |
| 2021 | Building HVAC Control via Neural Networks and Natural Evolution Strategies. Karl Mason, Santiago Grijalva |
| 2021 | Caching and Vectorization Schemes to Accelerate Local Search Algorithms for Assignment Problems. Mohammad Bagherbeik, Ali Sheikholeslami |
| 2021 | Cheapest Insertion and Disruption of Routes Operators for Solving Multi-Depot Electric Vehicle Location Routing Problem with Time Windows and Battery Swapping via GRASP and RVND. Bráulio M. O. Portela, Heder S. Bernardino, Luciana Brugiolo Gonçalves, Stênio Sã Rosário Furtado Soares |
| 2021 | Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms. Erik Pitzer, Michael Affenzeller |
| 2021 | Coevolution of AI and Level Generators for Super Mario Game. Julius Flimmel, Jakub Gemrot, Vojtech Cerný |
| 2021 | Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution. Zakaria Oussalem, Rochan Avlur Venkat, Jahnavi Malagavalli, Arya Kumar Bhattacharya |
| 2021 | Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. Bing Wang, Hemant Kumar Singh, Tapabrata Ray |
| 2021 | Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. Sandra M. Venske, Carolina P. de Almeida, Myriam Regattieri Delgado |
| 2021 | Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. Kei Nishihara, Masaya Nakata |
| 2021 | Comparison with State-of-the-Art: Traps and Pitfalls. Rafal Biedrzycki |
| 2021 | Complexity-Based Lambda Layer for Time Series Prediction. Kenneth Brezinski, Ken Ferens |
| 2021 | Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. Rafal Biedrzycki, Kamil Kwiatkowski, Pawel Cichosz |
| 2021 | Configuring the Perturbation Operations of an Iterated Local Search Algorithm for Cross-domain Search: A Probabilistic Learning Approach. Stephen A. Adubi, Olufunke O. Oladipupo, Oludayo O. Olugbara |
| 2021 | Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. Trung B. Nguyen, Will N. Browne, Mengjie Zhang |
| 2021 | Continuous Encoding for Community Detection in Attribute Networks with Preserving Node Information. Wei Zheng, Xin Liu, Jianyong Sun |
| 2021 | Contrapuntal Composition and Autonomous Style Development of Organum Motets by using AntsOMG. Chun-Yien Chang, Ying-Ping Chen |
| 2021 | Cooperative Chaotic Evolution. Jun Yu, Zitong Wang, Yan Pei |
| 2021 | Covariance Pattern Search with Eigenvalue-determined Radii. Ferrante Neri, Yuyang Zhou |
| 2021 | Coverage-Based Grammar-Guided Genetic Programming Generation of Test Suites. Alfredo Ibias, Pablo Vazquez-Gomis, Miguel Benito-Parejo |
| 2021 | Cultural Weight-Based Fish School Search: A Flexible Optimization Algorithm For Engineering. João L. Vilar-Dias, M. A. S. Galindo, Fernando B. Lima Neto |
| 2021 | DES-HyperNEAT: Towards Multiple Substrate Deep ANNs. Amund Tenstad, Pauline C. Haddow |
| 2021 | DSO Contract Market for Demand Response Using Evolutionary Computation. Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale |
| 2021 | Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. Amirali Madani, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | Deep Learning Model with GA-based Visual Feature Selection and Context Integration. Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang |
| 2021 | Deep Neural Network Guided Evolution of L-System Trees. Xuhao Eric Chen, Brian J. Ross |
| 2021 | Design of Cyclone Dust Separators: A Constrained Multiobjective Optimization Perspective. Aljosa Vodopija, Beate Breiderhoff, Boris Naujoks, Bogdan Filipic |
| 2021 | Designing Urban Transit Network using Memetic Algorithm. Hanan Ba Ali, Adam Roman |
| 2021 | Detecting Anomalies In Daily COVID-19 Cases Data From Brazil Capitals Using GSP Theory. Rodrigo Francisquini, Tiago Tiburcio da Silva, Mariá C. V. Nascimento |
| 2021 | Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. Naoya Ikushima, Keiko Ono, Yuya Maeda, Erina Makihara, Yoshiko Hanada |
| 2021 | Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical Optimisation. Petr Bujok, Patrik Kolenovsky |
| 2021 | Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer |
| 2021 | Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono |
| 2021 | Document Clustering with Evolved Single Word Search Queries. Laurence Hirsch, Alessandro G. Di Nuovo, Prasanna S. Haddela |
| 2021 | Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world Applications. Christina Plump, Bernhard J. Berger, Rolf Drechsler |
| 2021 | Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model. Wenlei Bai, Xinxin Zhu, Kwang Y. Lee |
| 2021 | EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong |
| 2021 | Effective Partial Charging Scheme For Minimizing The Energy Depletion And Charging Cost In Wireless Rechargeable Sensor Networks. Tran Thi Huong, Le Van Cuong, Nguyen Ngoc Bao, Ngo Minh Hai, Huynh Thi Thanh Binh |
| 2021 | Efficient Global Multi-Objective Aerodynamic Optimization Using Combined Multi-Point Infilling Strategy and Surrogate Models. Yiming Yao, Xudong Yang |
| 2021 | Embedded Representations of Wikipedia Categories. Jan Majkutewicz, Julian Szymanski, Andrzej Sobecki, Higinio Mora, David Gil |
| 2021 | Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. Guiyu Lai, Minhui Liao, Ke Li |
| 2021 | Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo |
| 2021 | Enhancing Moea/d with Escape Mechanisms. Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong |
| 2021 | Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization. Shreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi |
| 2021 | Evaluating Anytime Performance on NAS-Bench-101. Carlos Vieira, Leslie Pérez Cáceres, Leonardo C. T. Bezerra |
| 2021 | Evaluation of Communities from Exploratory Evolutionary Compression of Weighted Graphs. Emilia Rutkowski, James Sargant, Sheridan K. Houghten, Joseph Alexander Brown |
| 2021 | Evaluation of Decision-making Strategies for Robots in Intralogistics Problems Using Multi-agent Planning. Leonardo Henrique Moreira, Célia Ghedini Ralha |
| 2021 | Evaluation of Index Tracking Portfolios During the COVID-19 Pandemic. Thiago Wanderley De Amorim, Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho |
| 2021 | Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction. José Santos Reyes, Héctor Rivas |
| 2021 | Evolution of Generative Adversarial Networks Using PSO for Synthesis of COVID-19 Chest X-ray Images. Juan-Antonio Rodríguez-de-la-Cruz, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes |
| 2021 | Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale |
| 2021 | Evolutionary Algorithms for Searching Almost-Equienergetic Graphs. Aarón Jiménez-Aparicio, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa |
| 2021 | Evolutionary Clustering Algorithm Using Supervised Classifiers. Benjamin Mario Sainz-Tinajero, Andrés Eduardo Gutiérrez-Rodríguez, Hector G. Ceballos, Francisco J. Cantú Ortiz |
| 2021 | Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting. Yi Hu, Jing Liang, Boyang Qu, Jie Wang, Yanli Wang, Panpan Wei |
| 2021 | Evolutionary Hyperparameter Optimisation for Sentence Classification. Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato |
| 2021 | Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking. Ian Showalter, Howard Schwartz, Sidney N. Givigi |
| 2021 | Evolutionary Neural Architecture Search by Mutual Information Analysis. Shizuma Namekawa, Taro Tezuka |
| 2021 | Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue |
| 2021 | Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. Robert J. Smith, Ryan Amaral, Malcolm I. Heywood |
| 2021 | Exploiting Artificial Swarms for the Virtual Measurement of Backlash in Industrial Robots. Eliana Giovannitti, Sayyid Shahab Nabavi, Giovanni Squillero, Alberto Tonda |
| 2021 | Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel |
| 2021 | Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel |
| 2021 | Exploration Of Encoding And Decoding Methods For Spiking Neural Networks On The Cart Pole And Lunar Lander Problems Using Evolutionary Training. Andrew W. Rafe, Jaime Andres Garcia, William L. Raffe |
| 2021 | Exponentially Decaying Explosion in Fireworks Algorithm. Maiyue Chen, Ying Tan |
| 2021 | Fast Evolutionary Neural Architecture Search Based on Bayesian Surrogate Model. Rui Shi, Jianping Luo, Qiqi Liu |
| 2021 | Fast Heuristics for Traveling Salesman Problems with Multiple Flying Sidekicks. Gustavo Delazeri, Marcus Ritt |
| 2021 | Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. Atiya Masood, Gang Chen, Mengjie Zhang |
| 2021 | Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network Science. Zhendong Sha, Ting Hu, Yuanzhu Chen |
| 2021 | Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation. Michal Witold Przewozniczek, Marcin M. Komarnicki |
| 2021 | Fuzzy Filtering in Large-Scale Prediction of Intrinsically Disordered Regions of Proteins on Apache Spark. Bozena Malysiak-Mrozek, Lukasz Bozek, Dariusz Mrozek |
| 2021 | GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang |
| 2021 | GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman |
| 2021 | Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems. Ali Wagdy Mohamed, Anas A. Hadi, Prachi Agrawal, Karam M. Sallam, Ali Khater Mohamed |
| 2021 | Genetic Algorithm Assisted HIDMS-PSO: A New Hybrid Algorithm for Global Optimisation. Fevzi Tugrul Varna, Phil Husbands |
| 2021 | Genetic Algorithm Performance and the Influence of its Control Parameters on the Optimization of Optical Lens Design. N. Hesam Mahmoudi Nezhad, Mohamad Ghaffarian Niasar |
| 2021 | Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang |
| 2021 | Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu |
| 2021 | Genetic Algorithms for Error Mitigation in Quantum Measurement. Giovanni Acampora, Michele Grossi, Autilia Vitiello |
| 2021 | Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. Hayden Andersen, Andrew Lensen, Bing Xue |
| 2021 | Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang |
| 2021 | Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. Sai Panda, Yi Mei |
| 2021 | Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang |
| 2021 | Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba |
| 2021 | Geometry Assisted Energy Efficient Sweep Coverage Algorithm For Wireless Sensor Networks. Fuyou Li, Bei Dong, Xiaojun Wu, HongShang Xu |
| 2021 | HIDMS-PSO with Bio-inspired Fission-Fusion Behaviour and a Quorum Decision Mechanism. Fevzi Tugrul Varna, Phil Husbands |
| 2021 | Helper Objective Assisted Evolutionary Algorithm for Multi-modal Optimization. Xu Yang, Rui Wang, Wenhua Li |
| 2021 | Heuristic Optimization Of 18-pulse Rectifier System. Andrzej Sikora, Adam Zielonka, Marcin Wozniak |
| 2021 | Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. Yue Xie, Aneta Neumann, Frank Neumann |
| 2021 | Historical Information-based Differential Evolution for Dynamic Optimization Problem. Sheng-Hao Wu, Ke-Jing Du, Zhi-Hui Zhan, Hua Wang, Jun Zhang |
| 2021 | Hullingversus Clustering - Two Complementary Applications of Non-Negative Matrix Factorization. Mieczyslaw A. Klopotek, Slawomir T. Wierzchon |
| 2021 | Human Activity Recognition Using Parallel Cartesian Genetic Programming. Bruno M. P. Silva, Heder S. Bernardino, Helio J. C. Barbosa |
| 2021 | Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable Manufacturing. Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy |
| 2021 | Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering. Daphne Teck Ching Lai, Yuji Sato |
| 2021 | Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem. Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta |
| 2021 | Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration. Zhenhua Li, Christine A. Shoemaker |
| 2021 | Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization. Hussain Alibrahim, Simone A. Ludwig |
| 2021 | Hypervolume by Slicing Objective Algorithm: An Improved Version. Sumit Mishra, Srinibas Swain, Sangita Sarmah, Carlos A. Coello Coello |
| 2021 | IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021 |
| 2021 | IG-CEE: An Embedded Information Gain approach to Genetic Algorithms. Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral |
| 2021 | IPOP-CMA-ES and the Influence of Different Deviation Measures for Agent-Based Model Calibration. Víctor Vargas-Pérez, Manuel Chica, Oscar Cordón |
| 2021 | If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 2021 | Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning. Zhening Liu, Handing Wang |
| 2021 | Improving Differential Evolution through Bayesian Hyperparameter Optimization. Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian |
| 2021 | Improving Evolutionary Algorithms by Enhancing an Approximative Fitness Function through Prediction Intervals. Christina Plump, Bernhard J. Berger, Rolf Drechsler |
| 2021 | Inconstant Update of Reference Point Value for Parallel and Distributed MOEA/D. Mikiko Sato, Yuji Sato, Mads A. Midtlyng, Minami Miyakawa |
| 2021 | Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama |
| 2021 | Intelligent-Guided Adaptive Search For The Traveling Backpacker Problem. Calvin Rodrigues da Costa, Mariá C. V. Nascimento |
| 2021 | Interactivity in the Generation of Test Cases with Evolutionary Computation. Aurora Ramírez, Pedro Delgado-Pérez, Kevin J. Valle-Gómez, Inmaculada Medina-Bulo, José Raúl Romero |
| 2021 | Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization. Mengjun Ming, Rui Wang, Tao Zhang |
| 2021 | Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser. Mohammad Majid al-Rifaie |
| 2021 | Investigating binary EAs for Passive In-Building Distributed Antenna Systems. Siddhartha Shakya, Kin Fai Poon, Khawla AlShanqiti, Anis Ouali, Andrei Sleptchenko |
| 2021 | Is Algebraic Differential Evolution Really a Differential Evolution Scheme? Valentino Santucci |
| 2021 | Knowledge Embedding-Assisted Multi-Exemplar Learning Particle Swarm Optimization for Traffic Signal Timing Optimization. Zhuang-Jie Deng, Liu-Yue Luo, Zhi-Hui Zhan, Jun Zhang |
| 2021 | Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB). Fahad Maqbool, Muhammad Saad Razzaq, Asif Yar, Hajira Jabeen |
| 2021 | Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan |
| 2021 | Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2021 | Learning to Mutate for Differential Evolution. Haotian Zhang, Jianyong Sun, Zongben Xu |
| 2021 | Loading is the Key: A Novel Genetic Quantum Algorithm for SDVRP. Weijian Ma, Xinyuan Zhang, Yichen Xu, Fei Gao |
| 2021 | Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition. Paulo Pinheiro Junqueira, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães |
| 2021 | Local Optima Network Sampling for Permutation Flowshop. Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado |
| 2021 | Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. Jordan MacLachlan, Yi Mei |
| 2021 | MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao |
| 2021 | Machine Learning for Determining the Transition Point in Hybrid Metaheuristics. Antonio Bolufé Röhler, Ye Yuan |
| 2021 | Many Layer Transfer Learning Genetic Algorithm (MLTLGA): a New Evolutionary Transfer Learning Approach Applied To Pneumonia Classification. Raphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral |
| 2021 | Memetic Differential Evolution Using Coordinate Descent. Azam Asilian Bidgoli, Shahryar Rahnamayan |
| 2021 | Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. Dawid Polap, Marcin Wozniak, Jacek Mandziuk |
| 2021 | Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial Training. Marcellus Smith, Brandon Brown, Gerry V. Dozier, Michael C. King |
| 2021 | Modified Decomposition Framework and Algorithm for Many-objective Topology and Weight Evolution of Neural Networks. Adham Salih, Amiram Moshaiov |
| 2021 | Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello |
| 2021 | Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study. Federico Peralta, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral |
| 2021 | Multi Objective UAV Network Deployment for Dynamic Fire Coverage. Kripash Shrestha, Rahul Dubey, Ashutosh Singandhupe, Sushil J. Louis, Hung M. La |
| 2021 | Multi-Armed Bandits for Many-Task Evolutionary Optimization. Le Tien Thanh, Le Van Cuong, Ta Bao Thang, Huynh Thi Thanh Binh |
| 2021 | Multi-Modal Multi-Objective Evolutionary Optimization for Problems with Solutions of Variable-Length. Amiram Moshaiov, Yosef Breslav, Eliran Farhi |
| 2021 | Multi-Objective A* Algorithm for the Multimodal Multi-Objective Path Planning Optimization. Bo Jin |
| 2021 | Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend |
| 2021 | Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. Mikhail Maslyaev, Alexander Hvatov |
| 2021 | Multi-Objective Evolutionary Design of Composite Data-Driven Models. Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya |
| 2021 | Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman |
| 2021 | Multi-Objective Optimisation of Robotic Active Particle Swarms for Continuous Repair of Large Scale High Value Structures. John Oyekan |
| 2021 | Multi-Task Learning for Multi-Objective Evolutionary Neural Architecture Search. Ronghong Cai, Jianping Luo |
| 2021 | Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2021 | Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2021 | Multi-objective Tabu-based Differential Evolution for Teleportation of Smart Virtual Machines in Private Computing Clouds. Jerzy Balicki, Piotr Dryja |
| 2021 | Multiple-Preys Pursuit based on Biquadratic Assignment Problem. Lijun Sun, Chao Lyu, Yuhui Shi, Chin-Teng Lin |
| 2021 | Multistage Evolutionary Strategies for Adjusting a Cellular Automata-based Epidemiological Model. Larissa M. Fraga, Gina Maira Barbosa de Oliveira, Luiz G. A. Martins |
| 2021 | NL-SHADE-RSP Algorithm with Adaptive Archive and Selective Pressure for CEC 2021 Numerical Optimization. Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin |
| 2021 | Necrotic Behavioral Control of Agent Behavior in the Iterated Prisoner's Dilemma. Amanda Saunders, Daniel A. Ashlock, Julie Greensmith |
| 2021 | New Evolutionary Method for Studying Physical Properties of Magneto Caloric Materials. Anna Ouskova Leonteva, Radia Hamane, Michel Risser, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet |
| 2021 | Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. Jakub Kudela |
| 2021 | On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules. Lucija Planinic, Marko Durasevic, Domagoj Jakobovic |
| 2021 | Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim |
| 2021 | Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato |
| 2021 | Optimal Train Speed Optimization under Several Safety Points by the PSO Algorithm. Jun Liu, Tianyun Shi, Xiaoning Ma, Rui Xue, Min Liu |
| 2021 | Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery. Patrick Echtenbruck, Michael Emmerich, Martina Echtenbruck, Boris Naujoks |
| 2021 | Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. Mariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin |
| 2021 | Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. Thomas Bartz-Beielstein, Marcel Dröscher, Alpar Gür, Alexander Hinterleitner, Tom Lawton, Olaf Mersmann, Dessislava Peeva, Lennard Reese, Nicolas Rehbach, Frederik Rehbach, Amrita Sen, Aleksandr Subbotin, Martin Zaefferer |
| 2021 | Optimizing Parameters of Self-Organizing Model for Swarm Robots via Evolutionary Algorithms. Zhicheng Zheng, Yanan Li, Xiaokang Lei, Xingguang Peng |
| 2021 | PSO with Coupled Map Lattice and Worker Ant's Law. Kanta Matsumoto, Chihiro Ikuta |
| 2021 | Parallel Evolutionary Algorithm for EEG Optimization Problems. Mohamed A. Meselhi, Saber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam |
| 2021 | Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang |
| 2021 | Particle Swarm Optimization for Feature Selection in Emotion Categorization. Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth |
| 2021 | Path Planning based on Multi-objective Topological Map. Jiaqi Zhao, Zhijie Jia, Yong Zhou, Ruihao Zhang, Zeming Xie, Zikang Xu, Yuxin Li, Di Zhang |
| 2021 | Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology. Gabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz |
| 2021 | Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent. Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena |
| 2021 | Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. Mariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk |
| 2021 | Portfolio Search and Optimization for General Strategy Game-Playing. Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana |
| 2021 | Predicting Disease Outbreaks with Climate Data. Tassallah Abdullahi, Geoff Nitschke |
| 2021 | Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | Prediction Guided Meta-Learning for Multi-Objective Reinforcement Learning. Fei-Yu Liu, Chao Qian |
| 2021 | Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection. Margarita Antoniou, Gasper Petelin, Gregor Papa |
| 2021 | Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. Carlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo |
| 2021 | Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study. Hatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed |
| 2021 | Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem. Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga |
| 2021 | Random Selection of Parameters in Asynchronous Pool-Based Evolutionary Algorithms. Mario García Valdez, Rene Márquez Valenzuela, Leonardo Trujillo, Juan Julián Merelo |
| 2021 | Revisiting Pareto-Optimal Multi- and Many-Objective Reference Fronts for Continuous Optimization. Gabriela Cavalcante da Silva, Elizabeth F. Wanner, Leonardo C. T. Bezerra, Thomas Stützle |
| 2021 | SIMARD-LinearFold: Long Sequence RNA Design with Simulated Annealing. Ryan McBride, Herbert H. Tsang |
| 2021 | Score Level Fusion of Multimodal Biometrics Using Genetic Algorithm. Shadab Ahmad, Rajarshi Pal, Avatharam Ganivada |
| 2021 | Self-adaptive Differential Evolution Algorithm with Population Size Reduction for Single Objective Bound-Constrained Optimization: Algorithm j21. Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic |
| 2021 | Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. Fergal Stapleton, Edgar Galván |
| 2021 | Smart Multi-Objective Evolutionary GAN. Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Carlos Artemio Coello Coello |
| 2021 | Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network. Yong Wee Foo, Cindy Goh |
| 2021 | Solving Dynamic Many-objective TSP using NSGA-III equipped with SVR-RBF Kernel Predictor. Rashi Gupta, Satyasai Jagannath Nanda |
| 2021 | Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches. Radomil Matousek, René Pierre Lozi, Tomas Hulka |
| 2021 | Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi |
| 2021 | Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang |
| 2021 | Surrogate-assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-objective Bayesian Optimization. Nobuo Namura |
| 2021 | Tackling the Subset Sum Problem with Fixed Size using an Integer Representation Scheme. Victor Parque |
| 2021 | Temporal Specification Mining for IEC 61499 Function Blocks Using Evolutionary Algorithms and Model Checking. Daniil Chivilikhin |
| 2021 | The Effect of Mask Usage on Viral Immune Escape Times: An Evolutionary Strategies-Inspired Model. Matthew Witten, Owen Clancey |
| 2021 | The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. Urban Skvorc, Tome Eftimov, Peter Korosec |
| 2021 | The Effects of Initial Condition Selection on the Evolution of a Turn Circle Intercept Feedback Controller. Pavlos Androulakakis, Zachariah E. Fuchs |
| 2021 | The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga |
| 2021 | The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang |
| 2021 | The Predator's Purpose: Intention Perception in Simulated Agent Environments. Amani R. Maina-Kilaas, Cynthia Hom, Kevin Ginta, George D. Montañez |
| 2021 | The Sectional Art Gallery and an Evolutionary Algorithm for Approaching Its Minimum Point Guard Problem. Fynn Terhar, Christian Icking |
| 2021 | Three-Dimensional Robot Motion Design by Combining Interactive and Non-Interactive Evolutionary Computation for an Intelligent Transformable Phone Robot: BaBi. Jiansheng Liu, Satoshi Ono, Bilan Zhu |
| 2021 | Tournament Topology Particle Swarm Optimization. Jason Kuo, John W. Sheppard |
| 2021 | Towards a More Balanced Reference Set Adaptation Method: First Results. Luis A. Márquez-Vega, Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna |
| 2021 | Tracking the Heritage of Genes in Evolutionary Algorithms. Tobias Benecke, Sanaz Mostaghim |
| 2021 | Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures. Rochan Avlur Venkat, Zakaria Oussalem, Arya Kumar Bhattacharya |
| 2021 | Transfer Learning Based Evolutionary Algorithm for Bi-level Optimization Problems. Lei Chen, Hai-Lin Liu |
| 2021 | Two Stage Quantum Optimization for the School Timetabling Problem. Otto Menegasso Pires, Rafael de Santiago, Jerusa Marchi |
| 2021 | Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei |
| 2021 | Unsupervised Learning For Refactoring Pattern Detection. Paulo Roberto Farah, Thainá Mariani, Enrique A. da Roza, Rogério C. Silva, Silvia Regina Vergilio |
| 2021 | Upper Bounds for Particle Location Variance Convergence Measures in the Stochastic Model of Particle Swarm. Krzysztof Wójcik, Tomasz Kulpa, Krzysztof Trojanowski |
| 2021 | Using Double Well Function as a Benchmark Function for Optimization Algorithm. Peng Wang, Guosong Yang |
| 2021 | Using Genetic Algorithms To Select Test Cases For Finite State Machines With Timeouts. Miguel Benito-Parejo, Mercedes G. Merayo |
| 2021 | Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. Finn Schofield, Andrew Lensen |
| 2021 | Using MajorClust Algorithm for Sandbox-based ATM Security. Michal Maliszewski, Urszula Boryczka |
| 2021 | Using a Genetic Algorithm for Planning Interesting Tourist Routes in the City on the Basis of Open Street Map Data. Egor Smirnov, Sergei Kudinov |
| 2021 | Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht |
| 2021 | Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato |
| 2021 | Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall |
| 2021 | Weighting on the World to Change... an Epidemic. Rodrigo Vega Jimenez, Michael Dubé, Sheridan K. Houghten, James Alexander Hughes |
| 2021 | XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama |
| 2021 | gaCNN: Composing CNNs and GAs to Build an Optimized Hybrid Classification Architecture. Raphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral |
| 2021 | iSklearn: Automated Machine Learning with irace. Carlos Vieira, Adelson de Araújo, José E. Andrade, Leonardo C. T. Bezerra |