CEC B

339 papers

YearTitle / Authors
2024A Bi-Level Evolutionary Model Tree Induction Approach for Regression.
Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello
2024A Bi-Level Multi-Objective Energy Management System for Renewable Energy Self-Consumption.
Thalis Papakyriakou, Andreas Pamboris, Andreas Konstantinidis
2024A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search.
Ning Yang, Hai-Lin Liu, Lei Chen, Yuping Wang, Yiu-ming Cheung
2024A Bilevel Hybrid Genetic Algorithm for Capacitated Electric Vehicle Routing Problem.
Chang-Tao Feng, Ya-Hui Jia, Qiang Yang, Wei-Neng Chen, Huaiguang Jiang
2024A Comparison of a Digital and Floating-Point Virtual Programmable Logic Device and an Artifical Neural Network Evolved for Robotic Navigation.
Fraser Borrett, Mark Beckerleg
2024A Confidence-based Bilevel Memetic Algorithm with Adaptive Selection Scheme for Capacitated Electric Vehicle Routing Problem.
Yinghao Qin, Jun Chen
2024A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization.
Yongfeng Li, Yuze Zhang, Lijia Ma, Junkai Ji, Dugang Liu, Victor C. M. Leung, Jianqiang Li
2024A Cooperative Coevolutionary Approach to Designing Acceptance Tests for Jobs With Weakly Hard Real- Time Constraints.
Karla Salamun, Hrvoje Dzapo
2024A Data-Driven Optimization Method for Strongly Non-Separable Mixed-Integer Problems.
Takahiro Sato
2024A Deep Reinforcement Learning Assisted Heuristic for Solving Traveling Salesman Problems.
Ye Tian, Qinghui Zhu, Shuai Shao, Langchun Si, Xingyi Zhang
2024A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems.
Yuma Horaguchi, Masaya Nakata
2024A Dual-Model Assisted Evolutionary Algorithm Based on Decomposition for Expensive Multi-Objective Optimization.
Yanyan Tan, Zhaomin Zhai, Yukun Zhang
2024A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering.
Takato Kinoshita, Naoki Masuyama, Yusuke Nojima
2024A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization.
Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rückert
2024A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression.
Xinan Chen, Wenjie Yi, Ruibin Bai, Rong Qu, Yaochu Jin
2024A Hybrid Approach with BRKGA and Data Mining for the Early/Tardy Scheduling Problem.
Israel Mendonça, Tirana Noor Fatyanosa, Masayoshi Aritsugi, Pedro Henrique González Silva
2024A Hybrid CMAES Method with Convex Hull Surrogate Model.
Wenwen Liu, Shiu Yin Yuen, Chi Wan Sung
2024A Hypervolume Contribution Approximation Method Based on Angular Points.
Chengxin Wen, Lihua Li, Hongbin Ma
2024A Language-Free Evolutionary Framework for Text-to-Image Generation.
Ming-You Ying, Rung-Tzuo Liaw
2024A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection.
Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies
2024A Lightweight Training-Free Method for Neural Architecture Search.
Jhih-Cian Lin, Chun-Wei Tsai
2024A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems.
Liqun Wen, Hongfeng Wang
2024A Method for Revealing Implicit Emphasized Criteria for Decision Makers on Social Issues.
Toshio Ito, Shizuko Matsuzoe, Tadashi Iwahashi, Hisatoshi Yamaoka, Miwa Ueki, Kota Nagakane, Hideaki Morozumi, Koki Ikeda, Isao Ono
2024A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems.
Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga
2024A Multi-Modal Multi-Objective Evolutionary Algorithm Considering Boundary Information.
Hongze Wang, Jinxin Zhang
2024A Multiobjective Particle Swarm Optimizer based Localized Feature Selection for Imbalanced Fault Diagnosis.
Lin Gao, Yu Zhou, Hainan Guo, Sam Tak-Wu Kwong
2024A Nested Evolutionary Algorithm for Solving a Bilevel Competitive Location Problem: Optimistic vs. Pessimistic Approaches.
José-Fernando Camacho-Vallejo, Carlos Corpus
2024A Neural Network Symbolic Approach to Structural Health Monitoring in Aerospace Applications.
Federica Angeletti, Federico Succetti, Massimo Panella, Antonello Rosato
2024A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression.
Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang
2024A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization.
Hongyu Lin, Jing J. Liang, Caitong Yue, Yaonan Wang
2024A Novel Subspace Construction Method for Large-Scale Evolutionary Multi-Objective Optimization.
Wenping Wang, Yang Zhang, Shuwei Zhu, Meiji Cui
2024A Novel Surrogate Model for Variable-Length Encoding and its Application in Optimising Deep Learning Architecture.
Truong Dang, Tien Thanh Nguyen, John McCall, Kate Han, Alan Wee-Chung Liew
2024A Novel Symbolic Regressor Enhancer Using Genetic Programming.
Tu-Chin Chiang, Chi-Hsien Chang, Tian-Li Yu
2024A Q-Learning Hybrid BRKGA Applied to the Knapsack Problem with Forfeits.
Gabriel Souto, Masayoshi Aritsugi, Israel Mendonça, Luidi Simonetti, Pedro Henrique González
2024A Q-learning Evolutionary Multiobjective Framework for Multiobjective Optimization with Separable and Interacting Variables.
Hui Li, Yanhui Tang, Yuxiang Shui, Jianyong Sun
2024A Quality Diversity Study in EvoDevo Processes for Engineering Design.
Edgar Buchanan, Simon J. Hickinbotham, Rahul Dubey, Imelda Friel, Andrew R. Colligan, Mark Price, Andy M. Tyrrell
2024A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network.
Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, Shu-Yu Kuo
2024A Random Forest-Assisted Local Search for Expensive Permutation-based Combinatorial Optimization Problems.
Takashi Ikeguchi, Shun Sudo, Yuji Koguma, Masaya Nakata
2024A Reinforcement Learning Method Based on Natural Evolution Strategies.
Koki Kimura, Isao Ono
2024A Review on Evolutionary Multiform Transfer Optimization.
Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan
2024A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming.
Gontzal Sagastabeitia, Josu Doncel, Antonio Fernández Anta, José Aguilar, Juan Marcos Ramirez
2024A Surrogate-Assisted Clustering-Based Evolutionary Algorithm for Expensive Optimization.
Chunlong Hai, Jiazhen Wang, Liquan Mei
2024A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization.
Haofeng Wu, Qingda Chen, Cuie Yang, Jinliang Ding, Yaochu Jin
2024A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation.
Xunfeng Wu, Songbai Liu, Junkai Ji, Lijia Ma, Victor C. M. Leung
2024A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus.
Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Júnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro
2024A Survey of Applications of Multi-Objective Evolutionary Algorithms in Biotechnology.
Carlos Felipe Coello Castillo, Carlos A. Coello Coello
2024A Survey on Multi-Objective Optimization in Microgrid Systems.
Saiful Islam, Sanaz Mostaghim, Michael Hartmann
2024A Time Window Sequence-Based Evolutionary Algorithm for Solving Large-Scale Daily Task Planning Problems.
Peng Wu, Shuai Shao
2024A Triple Network Knowledge Learning Framework for Particle Swarm Optimization.
Zhao Zhang, Lingda Wang, Chen Chen
2024A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification.
Jing Liang, Zexuan Yang, Tuo Zhang, Ying Bi
2024A Two-Stage Evolutionary Framework for Multi-Objective Optimization.
Peng Chen, Jing J. Liang, Kangjia Qiao, Ponnuthurai Nagaratnam Suganthan, Xuanxuan Ban
2024A Two-Stage Optimization Framework for Sparse Large-Scale Multiobjective Optimization.
Huoyuan Wang, Jing Jiang
2024ACO With Reinforcement Learning Applied to Rescues Operations on Urban Forests.
Cláudio André Da Silva Alves, Israel Mendonça, Vanessa de Almeida Guimarães, Pedro Henrique González
2024ACSLs for Large-Scale Bounded Single Depot Multiple Travelling Salesman Problem.
Shanu Verma, Millie Pant
2024Adaptive NEH with constrained Nearest Neighbor Subtours for the Electric Vehicle Routing Problem with Time Windows.
Donald Davendra, Andrew Struthers
2024Age-at-Death Estimation based on Symbolic Regression Ensemble Learning from Multiple Annotations.
Enrique Bermejo Nievas, Oscar Cordón, Javier Irurita, Inmaculada Alemán, Ángel Rubio Salvador
2024Amorphous Fortress: Exploring Emergent Behavior and Complexity in Multi-Agent 0-Player Games.
M Charity, Sam Earle, Dipika Rajesh, Mayu Wilson, Julian Togelius
2024An Adaptive Metaheuristic Framework for Changing Environments.
Bestoun S. Ahmed
2024An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization.
Jesús Guillermo Falcón-Cardona, Mahboubeh Nezhadmoghaddam, Emilio Bernal-Zubieta
2024An Effective Algorithm Based on Space Net Optimization for Multi-Objective Optimization.
Chun-Wei Tsai, Cheng-Hao Lin, Wei-Hong Wang
2024An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design.
Wenjing Hong, Cheng Chen, Zexuan Zhu, Ke Tang
2024An Enhanced Particle Swarm Algorithm Based on Fitness Landscape Information.
Zhenya Diao, Fei Yu, Jian Guan, Meitong Liu
2024An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems.
Lei Yang, Jinglin Tian, Jiale Cao, Kangshun Li, Chaoda Peng
2024An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth.
Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils
2024An Experimental Analysis on Automated Machine Learning for Software Defect Prediction.
Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. Miranda, Ferrante Neri
2024An Improved Gradient-Based Repair Method for Constrained Numerical Optimization.
Jing-Yu Ji, Sen Yang, Kwan-Yeung Lee, Billy Chiu, Man Leung Wong, Sam Kwong
2024An Innovative Knowledge Learning Adaptive Quantum-inspired Algorithm for Trend Ratio-Based Portfolio Construction Model.
Shu-Yu Kuo, Yu-Chi Jiang, Ching-Hsuan Wu, Cheng-Yen Hua, Yun-Ting Lai, Yao-Hsin Chou
2024An Interior-point Genetic Algorithm with Restarts for Flexible Job Shop Scheduling Problems.
David Hutter, Michael Hellwig, Thomas Steinberger
2024An Open-Ended Approach to Understanding Local, Emergent Conservation Laws in Biological Evolution.
Alyssa M. Adams, Eliott Jacopin, Praful Gagrani, Olaf Witkowski
2024An Unsupervised Evolutionary Approach for Indian Regional Language Summarization.
Jiten Parmar, Naveen Saini, Dhananjoy Dey
2024Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2024Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms.
Yuki Hanawa, Tomohiro Harada, Yukiya Miura
2024Ant Colony Based Dynamic Voronoi Method for the Multi-Depot Multiple TSP.
Sara Pérez-Carabaza, Akemi Gálvez, Andrés Iglesias
2024Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario.
Markus Rothkötter, Niklas Kluge, Sanaz Mostaghim
2024Applying Evolutionary Algorithms for Service Function Chaining in 5G Networks.
Antonio M. Mora, J. Victoria-Mohammed, Nuria Medina-Medina, Juan F. Valenzuela-Valdés
2024Assembling Fragmented Domain Knowledge: A LLM-Powered QA System for Taiwan Cinema.
En-Chun Kuo, Yea-Huey Su
2024Automated Synthesis of Commutative Approximate Arithmetic Operators.
Zdenek Vasícek
2024Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search.
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024Automating Robot Design with Multi-Level Evolution.
Geoff Nitschke, David Howard, Bilal Aslan
2024Balancing Convergence and Diversity in Meta-Heuristics for Calibration of Instrument Transformers.
Zihan Gao, Cheng He, Chuanji Zhang, Hongbin Li
2024Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems.
Jakub Kudela, Martin Jurícek, Roman Parák, Alexandros Tzanetos, Radomil Matousek
2024Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software.
Diego Acosta-Ugalde, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Jesús Guillermo Falcón-Cardona
2024Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation.
Daniel F. Zambrano-Gutierrez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Ivan Amaya, Juan Gabriel Aviña-Cervantes
2024Bias in Standard Self-Adaptive Evolution Strategies.
Amir Omeradzic, Hans-Georg Beyer
2024Biased Dyadic Crossover for Variable-Length Multi-Objective Optimal Control Problems.
Ben Parsonage, Christie Alisa Maddock
2024Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms.
Alistair Benford, Markus Olhofer, Tobias Rodemann, Per Kristian Lehre
2024Black-Box Optimization Based Adaptive Image Anonymization.
Arcadi Llanza, Nadiya Shvai, Amir Nakib
2024Brain Storm Optimization based Swarm Learning for Diabetic Retinopathy Image Classification.
Liang Qu, Cunze Wang, Yuhui Shi
2024COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals.
Ananda Sutradhar, Azam Asilian Bidgoli, Shahryar Rahnamayan
2024Capitalizing on the Opponent's Uncertainty in Reconnaissance Blind Chess.
Jacek Czupyt, Mikolaj Malkinski, Jacek Mandziuk
2024Chance Constrained Optimization for Wind Power Curve Fitting with Unclean Data.
Xun Shen
2024Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization.
Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata
2024Characterising Deep Learning Loss Landscapes with Local Optima Networks.
Yuyang Zhou, Ferrante Neri, Ruibin Bai
2024Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization.
Wei Liu, Thomas Bäck, Yingjie Fan
2024Clustering of Earth-Moon transfers in Sun-perturbed environment.
Claudio Toquinho Campana, Francesco Topputo
2024Comparing Surrogate-Assisted Evolutionary Algorithms on Optimization of a Simulation Model for Resource Planning Task for Hospitals.
Jakub Kudela, Ladislav Dobrovsky, Mhd Ali Shehadeh, Tomas Hulka, Radomil Matousek
2024Computational Cost Reduction in Wrapper Approaches for Feature Selection: A Case of Study Using Permutational-Based Differential Evolution.
Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Rafael Rivera-López, Héctor-Gabriel Acosta-Mesa
2024Computational Study of Dream Interpretations: Psychoanalytic Human vs Artificial Analyses.
Mayte H. Laureano, Hiram Calvo
2024Confidence Bands Based on Rating Demonstrated on the CEC 2021 Competition Results.
Miha Ravber, Marjan Mernik, Shih-Hsi Liu, Marko Smid, Matej Crepinsek
2024Constraint Consensus for Solving Large-scale Constrained Optimization Problems.
Noha M. Hamza, Ruhul A. Sarker, Daryl Essam, Saber M. Elsayed
2024Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem.
Marko Ðurasevic, Mateja Ðumic, Francisco Javier Gil Gala
2024Control of JADE Population in Limited Number of Searches for Realistic Situations.
Tomoya Matsuki, Akira Notsu, Katsuhiro Honda, Takuya Kato, Masakazu Shibahara
2024Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang
2024Data Sampling via Active Learning in Cartesian Genetic Programming for Biomedical Data.
Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc
2024Decomposition of Difficulties in Complex Optimization Problems using a Bilevel Approach.
Ankur Sinha, Dhaval Pujara, Hemant Kumar Singh
2024Decomposition-Based Memetic Algorithm for Multi-Objective Fleet Size and Mix Vehicle Routing Problem.
Yunpeng Ba, Ruihao Zheng, Zhenkun Wang
2024Deep Learning Based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models.
Richard J. Licata, Piyush M. Mehta
2024Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization.
Ye Tian, Lianjie Yao, Shuai Shao, Yajie Zhang, Xingyi Zhang
2024Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics.
Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming
2024Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems.
Keigo Mochizuki, Tomoki Ishizuka, Naoya Yatsu, Hiroyuki Sato, Keiki Takadama
2024Designing Helper Objectives in Multi-Objectivization.
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato
2024Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem.
Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala
2024Differential Evolution Algorithm for Battlefield Surveillance Sensor Placement.
Ehab Zaki Elfeky, Gregory Sherman, Saber M. Elsayed, Md. Hedayetul Islam Shovon, Riley Lodge, Benjamin Campbell, Daryl Essam, Ruhul A. Sarker
2024Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory.
Héctor Escobar-Cuevas, Erik Cuevas, Alberto Luque-Chang, Marco Pérez-Cisneros, Daniel Zaldivar, Oscar Barba-Toscano, Mario Vásquez, Nahum Aguirre, Eric L. Marin
2024Differential Evolution with Success Rate-based adaptation CL-SRDE for Constrained Optimization.
Vladimir Stanovov, Eugene Semenkin
2024Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
2024Distributed Bit Climbing Algorithm for Binary Multi-objective Optimization.
Yudai Tagawa, Hernán E. Aguirre, Kiyoshi Tanaka
2024Dynamic Algorithm Composition for Image Segmentation.
Mia Gerber, Nelishia Pillay
2024Dynamic Function Generation for Text Classification.
Mia Gerber, Nelishia Pillay
2024Dynamic Multi-Objective Optimization Time Series Ensemble Prediction Framework Based on Correlation Type Detection.
Lele Xie, Xiaoming Zhang, Ran Hu, Shun Zhang
2024Dynamic Multi-Task Interactive Evolutionary Optimization Algorithm with Search Space Alignment.
Weidong Wu, Xiaoyan Sun, Yong Zhang, Wei Song
2024Dynamic Multi-Workflow Scheduling: A Comparative Analysis of Real-time Data.
Sugandha Rathi, Deepti Mehrotra, Renuka Nagpal, Gautam Srivastava
2024Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity.
Mardé Helbig
2024Dynamic NSGA-III with KRR-ANOVA Kernel Predictor for In-Motion Sonar Image Segmentation.
Aakansha Agarwal, Satyasai Jagannath Nanda
2024ESC: Evolutionary Stitched Camera Calibration in the Wild.
Grzegorz Rypesc, Grzegorz Kurzejamski
2024Effective Training of PINNs by Combining CMA-ES with Gradient Descent.
Lin Liu, Yuan Yuan
2024Effectiveness of an ACO Algorithm with Levy Flight for Large-Scale Constraint Satisfaction Problems.
Takuma Onagi, Kazunori Mizuno, Koichiro Sato
2024Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA.
Kosei Kobayashi, Masayoshi Aritsugi, Pedro Henrique González, Israel Mendonça
2024Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept.
Noah Sealy, Malcolm I. Heywood
2024Emotion Aligned Music Composition from Sound Fundamentals Using Differential Evolution.
Prafulla Kalapatapu, Ishaan Chigilli Palli, Ravi Teja Gangavarapu, Arya Kumar Bhattacharya, Nartkannai K
2024Emotion-Conditioned MusicLM: Enhancing Emotional Resonance in Music Generation.
Yuelang Sun, Matthew Kuo, Xiaodan Wang, Weihua Li, Quan Bai
2024Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization.
Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Jingjing Ma
2024Enabling Dual Subpopulations and Clustering for Multimodal Multiobjective Optimization.
Yu-Cheng Su, Yi-Ruei Chen, Chuan-Kang Ting
2024Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis.
Tomohiro Harada, Enrique Alba, Gabriel Luque
2024Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction.
Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
2024Enhanced Multi-Scale Quantum Harmonic Oscillator Algorithm with Opposition-based Learning.
Xinggui Ye, Jianping Li, Peng Wang
2024Enhanced Soil Property Estimations from Earth Observation Data with Differential Evolution-Based Multi-Objective TSK Model.
Nikolaos L. Tsakiridis, Nikiforos Samarinas, Eleni Kalopesa, John B. Theocharis, George C. Zalidis
2024Enhancing Diversity in Multi-Objective Feature Selection.
Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi
2024Enhancing Imbalanced Classification with Support Vector Machines via Evolutionary Oversampling Algorithms.
Haiwei Wang, Yongchao Chen, Chenchen Zhang, Yaqing Hou, Xiangrong Tong, Qiang Zhang
2024Evaluating Machine Learning Techniques for Predicting Salinity.
Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang
2024Evaluation Framework for AI -driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study.
Arthur Cerveira, Frederico Kremer, Darling Lourenço, Ulisses Brisolara Corrêa
2024EvoIBA: Evolutionary Boundary Attack Under Hard-Label Black Box Condition.
Ayane Tajima, Satoshi Ono
2024Evolution of Developmental Plasticity of Soft Virtual Creatures in Changing Environments.
Ryunosuke Higashinaka, Reiji Suzuki, Takaya Arita
2024Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation.
Xiaoying Yang, Yujing Gu, Fuhua Jia, Yiran Li, Hongru Wang, Nanjiang Du, Tianxiang Cui, Yujian Ye, Ruibin Bai
2024Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines.
Andrey Getmanov, Nikolay O. Nikitin
2024Evolutionary Constrained Multi-Factorial Optimization Based on Task Similarity.
Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2024Evolutionary Deep Reinforcement Learning via Hybridizing Estimation-of-Distribution Algorithms with Policy Gradients.
Thai Bao Tran, Ngoc Hoang Luong
2024Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms.
Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024Evolutionary Dynamic Optimization-Based Calibration Framework for Agent-Based Financial Market Simulators.
Zhenhua Yang, Muyao Zhong, Peng Yang
2024Evolutionary Label Selection for Multi-label Classification.
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024Evolutionary Multi - Modal Optimization Using Persistence-Based Clustering in Riemannian Manifolds.
Xiang Meng, Yan Pei, Hideyuki Takagi
2024Evolutionary Multiobjective Feature Selection Assisted by Unselected Features.
Xuan Duan, Songbai Liu, Junkai Ji, Lingjie Li, Qiuzhen Lin, Kay Chen Tan
2024Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification.
Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang
2024Evolutionary Multitasking with Compatibility Graph for Point Cloud Registration.
Hangqi Ding, Jun Jiang, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao
2024Evolutionary Search of Optimal Hyperparameters for Learning Various Robot Manipulation Tasks.
Archit Sharma, Sandeep Gupta, Peeyush Thakur, Narendra Kumar Dhar, Laxmidhar Behera
2024Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming.
Yifan He, Claus Aranha
2024Evolving Design For Engineering Structures.
Rahul Dubey, Simon J. Hickinbotham, Edgar Buchanan, Andrew R. Colligan, Imelda Friel, Mark Price, Andy M. Tyrrell
2024Evolving Priority Rules for Online Yard Crane Scheduling with Incomplete Tasks Data.
Chenwei Jin, Ruibin Bai, Huayan Zhang
2024Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production.
Helga Ingimundardottir, Thomas Philip Runarsson
2024Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments.
Michalis Mavrovouniotis, Changhe Li, Danial Yazdani, Diofantos G. Hadjimitsis
2024Expensive Many-objective Optimization Assisted by Adaptive Modeling.
Shufen Qin, Chaoli Sun, Zongchao Xie
2024Expensive Optimization Based on Evolutionary Multi-Tasking and Hybrid Restart Strategy.
Zhenyuan Li, Xiaoliang Ma, Zexuan Zhu, Yueyue Li
2024Exploration of Reservoir Properties in Molecular Computing Systems.
Nathanaël Aubert-Kato, Mika Ito
2024Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems.
Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello
2024Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images.
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
2024Exploring Multi-Objective Evolutionary Approaches for Path Planning of Autonomous Mobile Robots.
Miguel A. Jiménez-Domínguez, Néstor A. García-Rojas, Saúl Zapotecas Martínez, Raquel Díaz-Hernández, Leopoldo Altamirano Robles
2024Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules.
Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner
2024Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game.
Hyung-Jun Moon, Sung-Bae Cho
2024Extending Lexicase DE for a Multi-Niche Constraint Satisfaction Industrial Design Problem.
Takafumi Fukase, Yuta Kobayashi, Claus Aranha
2024FOG: A Unified Framework for Federated Combinatorial Optimization on Graphs.
Shiqing Liu, Ulrich Rückert, Yaochu Jin
2024Feature Selection for Computer-Aided Diagnosis via a Novelty Designed Binary Harris Hawk Algorithm.
Minhui Dong, Yuki Todo
2024Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values.
Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang
2024Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences.
Farnaz Kheiri, Azam Asilian Bidgoli, Masoud Makrehchi, Shahryar Rahnamayan
2024Feature-based Coevolution Algorithm for Multimodal Multi-objective Optimization.
Shanshan Yang, Anqi Pan, Xue Feng
2024Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective.
Jiao Liu, Yew Soon Ong, Melvin Wong
2024Finding the perfect MRI sequence for your patient - Towards an optimisation workflow for MRI-sequences.
Christina Plump, Daniel Christopher Hoinkiss, Jörn Huber, Bernhard J. Berger, Matthias Günther, Christoph Lüth, Rolf Drechsler
2024Fitness Landscape k-Nearest Neighbors Classification Based on Fitness Values Distribution.
Vojtech Uher, Pavel Krömer
2024FlexKalmanNet: A Modular AI-Enhanced Kalman Filter Framework Applied to Spacecraft Motion Estimation.
Moritz D. Pinheiro-Torres Vogt, Markus Huwald, Mohamed Khalil Ben Larbi, Enrico Stoll
2024Forecasting Soil Moisture Using PSO-CNN - LSTM Model.
Guoyuan Zhou, Guoliang Li
2024Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization.
Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim
2024From Multipoint Search to Multiarea Search: Novelty-Based Multi-Objectivization for Unbounded Search Space Optimization.
Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2024Full Inclusive Genetic Programming.
Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi
2024Fuzzy Utility AI for Handling Uncertainty in Video Game Bots Implementation.
Maciej Swiechowski
2024GAT-SQL: An Advanced Prompt Engineering Approach for Effective Text-to-SQL Interactions.
Saleh Almohaimeed, Saad Almohaimeed, Liqiang Wang
2024GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms.
Florian Rupp, Kai Eckert
2024Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
2024Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming.
Jiayin Chen, Ya-Hui Jia, Ying Bi, Wei-Neng Chen
2024Generating Interior Images with Latent User Preferences Through GANs.
Kentaro Sakabe, Keiko Ono, Panagiotis Adamidis, Naohiro Masuda
2024Generative Evolution Attacks Portfolio Selection.
Chen Li, Zidong Han, Jinrong Jiang, Lian Zhao, Yidi Bai, Zhonghua Lu, Xuebin Chi
2024Genetic Algorithm-Based Robot Path Planning with the Extraction of Topological Map.
Zhen Liu, Jinglue Xu, Hitoshi Iba
2024Genetic Algorithm-based Routing and Scheduling for Wildfire Suppression using a Team of UAVs.
Josy John, Suresh Sundaram
2024Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies.
Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson
2024Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis.
Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang
2024Graph Neural Network with Quasi - Data Augmentation for Modelling Food Web Relationships.
Kehinde Owoeye
2024Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum.
Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey.
Gustavo de Jesús Machado-Guillén, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Katarzyna Filus
2024Heterogeneous UAV Swarm Task Allocation via Hierarchy Tolerance Pigeon-Inspired Optimization.
Zhiqiang Zheng, Haibin Duan, Yongbin Sun
2024High-Throughput Multi-Objective Bayesian Optimization using Gradients.
Yiming Yao, Fei Liu, Qingfu Zhang
2024Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization.
Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo, Ching-Ray Chang
2024Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification.
Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024IDEL: An Improved Differential Evolution with Lissajous Mutation.
Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña
2024IEEE Congress on Evolutionary Computation, CEC 2024, Yokohama, Japan, June 30 - July 5, 2024
2024Image segmentation enhanced by heuristic assistance for retinal vessels case.
Katarzyna Prokop, Dawid Polap
2024Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability.
Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024Improved Discrete Cat Swarm Optimization for Optimal Multi-Trip Vehicle Routing in Case of a Natural Disaster.
Takumi Abe, Yoshikazu Fukuyama
2024Improved Discrete Fireworks Algorithm for Large Scale Knapsack Problem.
Yifan Liu, Ying Tan
2024Improved Methods for Solving the Electric Vehicle Charging Scheduling Problem to Maximize the Delive.
Abdennour Azerine, Ammar Oulamara, Michel Basset, Lhassane Idoumghar
2024Improving Generalization in Game Agents with Data Augmentation in Imitation Learning.
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén
2024Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data.
Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024Improving Quantum Genetic Algorithms through Recursive Search Space Exploration.
Giovanni Acampora, Autilia Vitiello
2024Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations.
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
2024Indoor Area Location System Using UWB Technology and Axis-Linear Bounding Boxes.
José Luis López Ruiz, José-María Jiménez-Villar, Antonio-Pedro Albín-Rodríguez, Macarena Espinilla Estévez
2024Inferring Gene Regulatory Networks from Single-Cell RNA-Sequencing Experimental Data using Cartesian Genetic Programming.
José Eduardo Henriques da Silva, Heder S. Bernardino, Itamar Leite de Oliveira, José J. Camata, Patrick C. de Carvalho
2024Infill Criterion Ensemble in Multi-Objective Evolutionary Algorithm for Mixed-Variable Problems.
Yongcun Liu, Handing Wang, Jingjing Ma
2024Information Flow and Laplacian Dynamics on Local Optima Networks.
Hendrik Richter, Sarah L. Thomson
2024Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework.
Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang
2024Intelligent Blocking and Prevention of SARS-CoV-2 Based on Evolutionary Reinforcement Learning.
Chengwei He, Huaping Hong, Lijia Ma, Qingling Zhu, Yuan Bai
2024Interactive Final Solution Selection in Multi-Objective Optimization.
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease.
Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone
2024Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation.
Jinyu Cai, Jialong Li, Mingyue Zhang, Munan Li, Chen-Shu Wang, Kenji Tei
2024Large Language Models as Evolutionary Optimizers.
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
2024Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics.
Jing Liu, Saber M. Elsayed, Daryl Essam, Ruhul A. Sarker, Ivan L. Garanovich, Terence Weir
2024Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms.
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
2024Learning Agents' Behavioral Patterns in Agent-Based Modeling by Means of Evolutionary Algorithms.
Péricles B. C. Miranda, Jesús Giráldez-Cru, Moésio Wenceslau da Silva Filho, Carmen Zarco, Oscar Cordón
2024Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling.
Yuan Tian, Yi Mei, Mengjie Zhang
2024Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems.
Shuaixiang Zhang, Yixuan Yang, Hao Tong, Xin Yao
2024Legal Text Retrieval with Contrastive Representation Learning and Evolutionary Data Augmentation.
Youhua Zhou, Xueming Yan, Han Huang, Haowen Yan, Minghao Chen
2024Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation.
Siddartha Reddy, Sai Prakash MV, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024Lightweight Detection Architecture Adapted to Small Lesions Using Multiscale Sampling Method.
Ayu Karasudani, Masaki Ishihara, Tatsuya Yamaguchi, Ayaka Oka, Yu Hasome, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Shogo Maeda, Yuko Nakamura, Toru Higaki, Kazuo Awai
2024Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting.
Julia Borisova, Nikolay O. Nikitin
2024M6GP: Multiobjective Feature Engineering.
João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva
2024MOEA/D-CMA Made Better with (l+l)-CMA-ES.
Chengyu Lu, Yilu Liu, Qingfu Zhang
2024MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization.
Matthieu Basseur, Arnaud Liefooghe, Sara Tari
2024MVBA\_TSC: Majority Voting and Bayesian Average-Based Trustful Service Composition in Cloud and Edge Environments.
Faten Sebri, Rocío Pérez de Prado, Zaki Brahmi
2024Many Objectives Autonomous Robot Path Planning with Improved MOEA/D.
Jin Zhou, David Chieng, Boon-Giin Lee, Junkai Ji, Jianqiang Li
2024Measuring Structural Complexity of GP Models for Feature Engineering over the Generations.
João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva
2024MiRNN: A Mutual Information Augmented Recurrent Neural Network Framework for Reconstruction of Gene Regulatory Networks.
Prianka Dey, Abhinandan Khan, Goutam Saha, Rajat Kumar Pal
2024Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis.
Hao Hao, Xiaoqun Zhang, Aimin Zhou
2024Multi-Agent Collaborative Search with Adaptive Heuristics and Weight Vectors for Aerospace Multi-objective Optimal Control Problems.
Li Cao, Maocai Wang, Ben Parsonage, Christie Alisa Maddock, Guangming Dai
2024Multi-Agent Reinforcement Learning with Asymmetric Representation Assisted by Multi-Objective Evolutionary Algorithms.
Ye Tian, Weixin Wang, Shangshang Yang, Panpan Zhang, Xingyi Zhang
2024Multi-Object Tracking as Continuous Dynamic Environment and its Exploration by Particle Swarm Optimization.
Ryo Takano
2024Multi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling.
Ishara Hewa Pathiranage, Aneta Neumann
2024Multi-Objective Evolutionary Optimization for Tuning Hyperparameters and Reducing Features in Prediction of Deep Vein Thrombosis.
Ruslan Sorano, Kazi Shah Nawaz Ripon, Lars Vidar Magnusson
2024Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules.
Junwei Pang, Yi Mei, Mengjie Zhang
2024Multi-Objective Optimisation strategy for On-Orbit Fault-Tolerant Decision Making.
Robert Cowlishaw, Ashwin Arulselvan, Annalisa Riccardi
2024Multi-Objective Optimization for Joint Communication and Computing Resource Allocation in NOMA-Based MEC System.
Hongzhe Wang, Lixin Tang, Min Xiao, Qingxin Guo
2024Multi-Objective Virtual Network Functions Placement and Traffic Routing Problem.
Nguyen Thi Tam, Tran Ho Khanh Ly, Bui Trong Duc, Tran Huy Hung, Huynh Thi Thanh Binh
2024Multi-Optimiser Training for GANs Based on Evolutionary Computation.
Yixia Zhang, Yu Xue, Ferrante Neri
2024Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem.
Haoyuan Lv, Ruochen Liu, Handing Wang
2024Multi-Stage Transfer Learning Evolutionary Algorithm for Dynamic Multiobjective Optimization.
Qianhui Wang, Qingling Zhu, Junkai Ji
2024Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study.
Caitong Yue, Liming Liu, Jing Liang, Gongping Li, Bi Ying, Mingyuan Yu
2024Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System.
Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang
2024Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results.
Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan
2024NMT vs MLM: Which is the Best Paradigm for APR?
Yiheng Chen, Kai Huang, He Wang, Yuqing Zhang
2024NSMD-NAS: Retinal Image Segmentation with Neural Architecture Search and Non-Subsampled Multiscale Decomposition.
Hanyu Zhang, Lixin Tang, Xiangman Song, Te Xu
2024Natural Evolution Strategy for Black-Box Function Optimization with Implicit Constraint.
Masato Nishikubo, Isao Ono
2024Neural Combinatorial Optimization by Means of Partial Solution Strategies.
Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
2024Neural Network-Assisted Particle Swarm Dynamic Optimization.
Zhi Liu, Wei Song, Mingshuo Song
2024Neural Network-based Synchronisation of Free-Floating Space Manipulator's Joint Motion and Mother Spacecraft's Attitude for Active Debris Removal.
Shabadini Sampath, Jinglang Feng
2024Neural network agents trained by declarative programming tutors.
Julian Szymanski, Jan Dobrosolski, Higinio Mora, Karol Draszawka
2024NeuroLGP-SM: Scalable Surrogate-Assisted N euroevolution for Deep Neural Networks.
Fergal Stapleton, Edgar Galván
2024Non-Spatial Hash Chemistry as a Minimalistic Open-Ended Evolutionary System.
Hiroki Sayama
2024Nonlinear Model-Based Predictive Control of Electric Water Heaters in Individual Dwellings.
Oumaima Laguili, Julien Eynard, Stéphane Grieu
2024Novel Genotypic Diversity Metrics for Real-Coded Optimization on Multi-Modal Problems.
Alexandre Mascarenhas, Yuta Kobayashi, Claus Aranha
2024On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making.
Anirudh Suresh, Kalyanmoy Deb
2024On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP.
Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan
2024One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search.
Kuangda Lyu, Maoguo Gong, Hao Li, Yuan Gao, Yue Wu, Dan Feng, Jiao Shi, Yu Lei
2024Opposition-based Multi-Objective ADAM Optimizer (OMAdam) for Training ANNs.
Farzaneh Nikbakhtsarvestani, Shahryar Rahnamayan, Mehran Ebrahimi
2024Optimization of Node Reduction Using BRKGA for GNN-Based Traffic Speed Forecasting.
Yuto Inokuchi, Pedro Henrique González, Israel Mendonça, Masayoshi Aritsugi
2024Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES.
Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu
2024Optimizing Maritime Propeller Design with Continuous Evolutionary Algorithms.
Joe Jonas Vogel, Paulo Barbato Fogaça de Almeida, Paulo Lilles Jorge Drews Junior, Crístofer Hood Marques, Jônata Tyska Carvalho
2024Outlier Interpretation Using Regularized Auto Encoders and Genetic Algorithm.
Seyed Mohamad Ali Tousi, Guilherme N. DeSouza
2024Oversampling-Guided Search for Evolutionary Multiobjective Optimization.
Norihiro Kimoto, Yuma Horaguchi, Masaya Nakata
2024Pan-Cancer Classification System with Explainable AI Interpretation: A Feasibility Study.
Yasin Mamatjan
2024Pareto Front Estimation Model Optimization for Aggregative Solution Set Representation.
Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024Path Planning in a dynamic environment using Spherical Particle Swarm Optimization.
Mohssen E. Elshaar, Mohammed R. Elbalshy, A. Hussien, Mohamed A. Abido
2024Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective.
Yang Nan, Hisao Ishibuchi, Tianye Shu
2024Performance of Beta Mutation on CEC 2017 and CEC 2022 Benchmarks.
Yogesh Kumar, Kusum Deep
2024Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables.
Francisco M. Caldas, Cláudia Soares
2024Prediction of Distributed Ultrasound Simulation Execution Time U sing Machine Learning.
Jirí Jaros, Marta Jaros, Martin Buchta
2024Prediction of Managed Forest Growth Based on Machine Learning and Cellular Automata.
Pablo H. De Freitas, Murillo G. Carneiro, Thiago P. Protasio, Delman A. Gonçalves, Rodrigo O. V. Miranda, Alvaro A. V. Soares, Luiz G. A. Martins
2024Prediction of Mycobacterium Tuberculosis Lineages from Annotated Whole Genome Sequences: An Evolutionary Approach.
Wilfried Segretier, Erick Stattner, David Couvin, Nalin Rastogi
2024Predictive Control of a Multi -energy Building-integrated Microgrid: A Case Study.
Romain Mannini, Julien Eynard, Stéphane Grieu
2024Preference-Based Evolutionary Multi-Objective Optimization Using Non-Preference Information.
Tadashi Onishi, Mamoru Doi
2024Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming.
Tzu-Hao Hsu, Chi-Hsien Chang, Tian-Li Yu
2024Promoting Diversity in the Evolution of Biological Sequence Data.
Michael Dubé, Sheridan K. Houghten, Steffen P. Graether
2024Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models.
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024Prototype Generation with the sUpervised Classifier System on kNN Matching.
Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama
2024Push and Pull Search with Directed Mating for Constrained Multi-objective Optimization.
Ryo Takamiya, Minami Miyakawa, Keiki Takadama, Hiroyuki Sato
2024Q-Learning-Driven Framework for High-Dimensional Optimization Problems.
Kanchan Rajwar, Kusum Deep
2024QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm.
Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Donghua Wang, Jialiang Sun
2024Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks.
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
2024ROIL: Rule Optimization via Large Language Model for Imitation Learning.
Yossathorn Tianrungroj, Hitoshi Iba
2024Random and Chaotic Sequences, and the Effect of their Distributions on PSO Performance.
Hendrik Richter, Paul Moritz Nörenberg
2024Realistic Tax Planning with Evolutionary Algorithms.
Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz
2024Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks.
Julio Juárez, Carlos A. Brizuela, Hugo Terashima-Marín, Carlos A. Coello Coello
2024Reference Vector Guided Variables Selection for Expensive Large-Scale Multiobjective Optimization.
Jianqing Lin, Cheng He, Xueming Liu, Linqiang Pan
2024Reinforcement Learning with Safe Action Generation for Autonomous Racing.
Jiacheng Yang, Yuanda Wang, Lu Dong, Xin Yuan
2024Reliability-Aware Network Slicing based on Multi-Objective Optimization.
Qiqi Xia, Jin Wang, Chengqiang Huang, Xin Yao
2024Repeated ε-Sampling for Many-Objective Optimization.
Yu Takei, Hernán E. Aguirre, Kiyoshi Tanaka
2024Revisiting the Formation of Harmonic Progressions from the Perspective of Voice-Leading with Evolutionary Computation.
Chun-Yien Chang, Ying-Ping Chen
2024Robust Classification with Belief Functions and Deep Learning Applied to STM.
Luis Sánchez, Víctor Rodríguez-Fernández, Massimiliano Vasile
2024SCAPE: Searching Conceptual Architecture Prompts using Evolution.
Soo Ling Lim, Peter J. Bentley, Fuyuki Ishikawa
2024Satellite Collision Avoidance Maneuver Planning in Low Earth Orbit Using Proximal Policy Optimization.
Sajjad Kazemi, Nasser L. Azad, Katharine Andrea Scott, Haroon B. Oqab, George B. Dietrich
2024Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization Problems.
Ritam Guha, Kalyanmoy Deb
2024Schizophrenia Detection Using EEG: A Study on Frequency Relevance.
Luís A. Alexandre, Wlodzislaw Duch
2024Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks.
Tarek Kunze, Paul Templier, Dennis G. Wilson
2024Semi-Stable Periodic Orbits of the Deterministic Chaotic Systems Designed by means of Genetic Programming.
Radomil Matousek, Tomas Hulka, René Pierre Lozi, Jakub Kudela
2024Sequential Transfer with Multi-Objective Genetic Algorithm for Feature Selection of Small, High-Dimensional Datasets.
Parth C. Upadhyay, Guilherme N. DeSouza, John A. Lory
2024Should Multi-objective Evolutionary Algorithms Use Always Best Non-dominated Solutions as Parents?
Kazuma Sato, Naru Okumura, Keiki Takadama, Hiroyuki Sato
2024Similar Locality Based Transfer Evolutionary Optimization for Minimalistic Attacks.
Wenqiang Ma, Yaqing Hou, Hua Yu, Xiangrong Tong, Zexuan Zhu, Qiang Zhang
2024Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation.
Rui Leite, Hernán E. Aguirre, Kiyoshi Tanaka
2024Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms.
Pablo Torrijos, José A. Gámez, José M. Puerta
2024Success Rate of Evolution Strategies on the Multimodal Griewank Function.
Lisa Schönenberger, Hans-Georg Beyer
2024Success Rate-based Adaptive Differential Evolution L-SRTDE for CEC 2024 Competition.
Vladimir Stanovov, Eugene Semenkin
2024Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion.
Lu Wang, Chaoli Sun, Guochen Zhang, Kaili Zhao, Hui Shi, Zongchao Xie
2024Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization.
Jiangtao Shen, Huachao Dong, Peng Wang, Xinjing Wang, Wenxin Wang
2024Surrogate-Assisted Evolutionary Computation for Distributed Simulation-Based Inventory Optimization in Serial Supply Chains.
Ziang Liu, Tatsushi Nishi
2024Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection.
Qi-Te Yang, Liu-Yue Luo, Chun-Hua Chen, Jian-Yu Li, Jing-Hui Zhong, Jun Zhang, Zhi-Hui Zhan
2024Surrogate-Assisted Multi-Objective Optimization for Handling Objectives with Heterogeneous Evaluation Times: Unconstrained Problems.
Balija Santoshkumar, Kalyanmoy Deb
2024Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization.
Jiajia Zhang, Chaoli Sun, Guochen Zhang, Jing Li, Hui Shi, Zongchao Xie
2024Synchronous Parallel Heuristics for Solving the Joint Order Batching and Picker Routing Problem.
Son Tran Thai, Rui Jorge Almeida, Christof Defryn, Inneke Van Nieuwenhuyse
2024Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2024Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization.
Haoran Gu, Handing Wang, Jingjing Ma
2024The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design.
Zhongneng Zhang, Xianqi Chen, Yufeng Xia, Wen Yao, Weien Zhou, Yu Li, Bingxiao Du
2024The Multi-Objective Vehicle Routing Problems with Parcel Lockers for Simultaneous Pick-Up and Delivery.
Weimin Chen, Yuxin Liu, Jin Liu
2024The Vehicle Routing Problem with Drones and Flexibility Demands.
Tran Thi Hue, Bao Nguyen, Quoc Nguyen, Pham Phu Manh, Nguyen Khanh Phuong, Huynh Thi Thanh Binh, Dang Quang Thang
2024The Virtual Programmable Logic Device, a Novel Machine Learning Architecture.
Fraser Borrett, Mark Beckerleg
2024Towards Adaptation in Multiobjective Evolutionary Algorithms for Integer Problems.
Günter Rudolph, Markus Wagner
2024Towards Evolution of Deep Neural Networks through Contrastive Self-Supervised Learning.
Adriano Vinhas, João Correia, Penousal Machado
2024Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization.
Sen Yang, Zusheng Tan, Jing-Yu Ji, Haoran Xie, Man Leung Wong, Sam Kwong
2024Two-Level Software Obfuscation with Cooperative Co-Evolutionary Algorithms.
José Miguel Aragón-Jurado, Javier Jareño, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro
2024Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model.
Fan Fan, Yilei Shi, Xiao Xiang Zhu
2024Using Island Model in Asynchronous Evolutionary Strategy to Search for Backdoors for SAT.
Artem Pavlenko, Alexander A. Semenov
2024Using Selected Heuristic Algorithms in Solving Nonlinear Differential Equations.
Mariusz Pleszczynski
2024VISTA: A Variable Length Genetic Algorithm and LSTM-Based Surrogate Assisted Ensemble Selection algorithm in Multiple Layers Ensemble System.
Kate Han, Truong Thanh Nguyen, Viet Anh Vu, Alan Wee-Chung Liew, Truong Dang, Tien Thanh Nguyen
2024Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer.
Eric O. Scott, Kenneth A. De Jong
2024Well Trajectory Design Based on Constrained Many-Objective Optimization Algorithms.
Zhaojun Wang, Chenwen Ding, Wenji Li, Yifeng Qiu, Jiafan Zhuang, Dong Chen, Biao Xu, Yun Li, Zhun Fan
2024Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search.
Nhat Minh Le, An Vo, Ngoc Hoang Luong