Table of Contents

• Learning to Mutate for Differential EvolutionHaotian Zhang, Jianyong Sun, ZongBen Xu. 1-8 [doi]
• Is Algebraic Differential Evolution Really a Differential Evolution Scheme?Valentino Santucci. 9-16 [doi]
• An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success InformationTetsuyuki Takahama, Setsuko Sakai. 17-24 [doi]
• An Integrated Differential Evolution-based Heuristic Method for Product Family Design ProblemIsmail M. Ali, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss ElSawah, Michael J. Ryan. 25-32 [doi]
• A Differential Evolution with Multi-factor Ranking Based Parameter Adaptation for Global OptimizationJing Wei, Zuling Wang, Yangyan Xu, Ze Chen. 33-40 [doi]
• Adaptive Differential Evolution based on Exploration and Exploitation ControlHao Bai, Changwu Huang, Xin Yao 0001. 41-48 [doi]
• A Genetic Algorithm To Optimize Penstocks For Micro-Hydro Power PlantsAlejadro Tapia Córdoba, Álvaro Rodríguez del Nozal, Daniel Gutiérrez-Reina, Pablo Millán Gata. 49-56 [doi]
• An Ant Colony Optimisation Inspired Crossover Operator for Permutation Type ProblemsDarren M. Chitty. 57-64 [doi]
• Genetic Algorithm Performance and the Influence of its Control Parameters on the Optimization of Optical Lens DesignN. Hesam Mahmoudi Nezhad, M. Ghaffarian Niasar. 65-70 [doi]
• A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling MissionSamuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín. 71-78 [doi]
• gaCNN: Composing CNNs and GAs to Build an Optimized Hybrid Classification ArchitectureRaphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral. 79-86 [doi]
• A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness ConstraintsDo Tuan Anh, Huynh Thi Thanh Binh, Nguyen Hoang Long, Ta Bao Thang, Simon Su. 87-94 [doi]
• Solving Dynamic Many-objective TSP using NSGA-III equipped with SVR-RBF Kernel PredictorRashi Gupta, Satyasai Jagannath Nanda. 95-102 [doi]
• Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer LearningZhening Liu, Handing Wang. 103-110 [doi]
• A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization ProblemsQingshan Tan, Changhe Li, Hai-Xia, Sanyou Zeng, Shengxiang Yang. 111-118 [doi]
• Historical Information-based Differential Evolution for Dynamic Optimization ProblemSheng-Hao Wu, Ke-Jing Du, Zhi-hui Zhan, Hua Wang, Jun Zhang. 119-126 [doi]
• Improving Evolutionary Algorithms by Enhancing an Approximative Fitness Function through Prediction IntervalsChristina Plump, Bernhard J. Berger, Rolf Drechsler. 127-135 [doi]
• Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast ModelWenlei Bai, Xinxin Zhu, Kwang Y. Lee. 136-143 [doi]
• A New Diversity Performance Indicator for Many-Objective Optimisation ProblemsKai Eivind Wu, George Panoutsos. 144-152 [doi]
• A Competition-Cooperation Evolutionary Algorithm with Bidirectional Multi-population Local Search and Local Hypervolume-based Strategy for Multi-objective OptimizationZhou Zhou, Zuling Wang, Tingting Pang, Jing Wei, Ze Chen. 153-160 [doi]
• Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE FrameworkKei Nishihara, Masaya Nakata. 161-168 [doi]
• Approximating Pareto Optimal Set by An Incremental Learning ModelTingrui Liu, Shenmin Song, Xin Li, Liguo Tan. 169-176 [doi]
• MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing SystemZhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao. 177-184 [doi]
• Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective OptimizationGuiyu Lai, Minhui Liao, Ke Li 0001. 185-192 [doi]
• A Hybrid Multiobjective Solution for the Short-term Hydro-power Dispatch Problem: a Swarm Evolutionary ApproachCarolina Gil Marcelino, Lucas B. de Oliveira, Elizabeth F. Wanner, Carla A. D. M. Delgado, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz. 193-200 [doi]
• Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic AlgorithmsRafal Biedrzycki, Kamil Kwiatkowski, Pawel Cichosz. 201-208 [doi]
• A Reactive Multi-agent System for Self-healing in Smart Distribution GridsItalo Ramon da Costa Campos, Filipe Saraiva. 209-216 [doi]
• Effective Partial Charging Scheme For Minimizing The Energy Depletion And Charging Cost In Wireless Rechargeable Sensor NetworksTran Thi Huong, Le Van Cuong, Nguyen Ngoc Bao, Ngo Minh Hai, Huynh Thi Thanh Binh. 217-224 [doi]
• Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple AggregatorsJosé Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita S. Vale. 225-232 [doi]
• DSO Contract Market for Demand Response Using Evolutionary ComputationEduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale. 233-240 [doi]
• Ant Colony System Based Drone Scheduling For Ship Emission MonitoringXiaosong Luo, Zhao-Hui Sun, Siqi Qiu. 241-247 [doi]
• Knowledge Embedding-Assisted Multi-Exemplar Learning Particle Swarm Optimization for Traffic Signal Timing OptimizationZhuang-Jie Deng, Liu-Yue Luo, Zhi-hui Zhan, Jun Zhang. 248-255 [doi]
• Optimal Production Scheduling using a Production Simulator by Modified Brain Storm OptimizationKenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato. 256-263 [doi]
• Using a Genetic Algorithm for Planning Interesting Tourist Routes in the City on the Basis of Open Street Map DataEgor Smirnov, Sergei Kudinov. 264-271 [doi]
• Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural ProductsDemelza Robinson, Qi Chen 0002, Bing Xue 0001, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang 0001. 272-279 [doi]
• Document Clustering with Evolved Single Word Search QueriesLaurence Hirsch, Alessandro G. Di Nuovo, Prasanna Haddela. 280-287 [doi]
• Deep Learning Model with GA-based Visual Feature Selection and Context IntegrationRanju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang 0001. 288-295 [doi]
• Constructing Complexity-efficient Features in XCS with Tree-based Rule ConditionsTrung B. Nguyen, Will N. Browne, Mengjie Zhang 0001. 296-303 [doi]
• XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional DataMasakazu Tadokoro, Hiroyuki Sato, Keiki Takadama. 304-310 [doi]
• Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier SystemHiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama. 311-318 [doi]
• Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled MethodologyGabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz. 319-326 [doi]
• A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious AttacksJunyuan Chen, Jing Liu. 327-334 [doi]
• Covariance Pattern Search with Eigenvalue-determined RadiiFerrante Neri, Yuyang Zhou. 335-342 [doi]
• Designing Urban Transit Network using Memetic AlgorithmHanan Ba Ali, Adam Roman. 343-350 [doi]
• Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman ProblemEneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta. 351-358 [doi]
• Memetic Differential Evolution Using Coordinate DescentAzam Asilian Bidgoli, Shahryar Rahnamayan. 359-366 [doi]
• A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop SchedulingZi-Xiao Pan, Ling Wang, Jing-fang Chen 0001, Yu-Ting Wu. 367-374 [doi]
• A Biased Random-key Genetic Algorithm with a Local Search Component for the Optimal Bucket Order ProblemLuiz Henrique Nogueira Lorena, Luiz Antonio Nogueira Lorena, Antonio Augusto Chaves. 375-382 [doi]
• An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete OptimizationSho Shimazu, Isao Ono. 383-390 [doi]
• A General Framework Based on Walsh Decomposition for Combinatorial Optimization ProblemsImanol Unanue, María Merino 0001, José Antonio Lozano. 391-398 [doi]
• Automated Hypotheses Generation via Combinatorial Causal OptimizationRoberto Pietrantuono. 399-407 [doi]
• An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination HeuristicsVlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban. 408-415 [doi]
• Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman ProblemVicente P. Soloviev, Concha Bielza, Pedro Larrañaga. 416-425 [doi]
• Evolution of Amino Acid Properties in the Context of Protein Secondary Structure PredictionJosé Santos, Héctor Rivas. 426-433 [doi]
• Evaluation of Communities from Exploratory Evolutionary Compression of Weighted GraphsEmilia Rutkowski, James Sargant, Sheridan K. Houghten, Joseph Alexander Brown. 434-441 [doi]
• Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired ComputingMariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin. 442-449 [doi]
• Weighting on the World to Change... an EpidemicRodrigo Vega Jimenez, Michael Dubé, Sheridan K. Houghten, James Alexander Hughes. 450-457 [doi]
• Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) BiocuratorLaurence Rodrigues do Amaral, Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Estevam Rafael Hruschka. 458-465 [doi]
• Multistage Evolutionary Strategies for Adjusting a Cellular Automata-based Epidemiological ModelLarissa M. Fraga, Gina Maira Barbosa de Oliveira, Luiz G. A. Martins. 466-473 [doi]
• Human Activity Recognition Using Parallel Cartesian Genetic ProgrammingBruno M. P. Silva, Heder S. Bernardino, Helio J. C. Barbosa. 474-481 [doi]
• A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural NetworksYingfang Yuan, Wenjun Wang, Wei Pang. 482-489 [doi]
• Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural NetworkYong Wee Foo, Cindy Goh. 490-497 [doi]
• Exploration Of Encoding And Decoding Methods For Spiking Neural Networks On The Cart Pole And Lunar Lander Problems Using Evolutionary TrainingAndrew W. Rafe, Jaime Andres Garcia, William L. Raffe. 498-505 [doi]
• A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial LearningCharlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price. 506-513 [doi]
• Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud AutoencodersThiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel. 514-521 [doi]
• A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control TuningVictor Parque. 522-529 [doi]
• A New Optimization Approach for Task Scheduling Problem Using Water Cycle Algorithm in Mobile Cloud ComputingBehzad Saemi, Mehdi Sadeghilalimi, Ali Asghar Rahmani Hosseinabadi, Malek Mouhoub, Samira Sadaoui. 530-539 [doi]
• Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world ApplicationsChristina Plump, Bernhard J. Berger, Rolf Drechsler. 540-548 [doi]
• Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable ManufacturingRavindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy. 549-555 [doi]
• A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological ImagesMohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah. 556-563 [doi]
• Genetic Programming with Random Binary Decomposition for Multi-Class Classification ProblemsLushen Liao, Adam Kotaro Pindur, Hitoshi Iba. 564-571 [doi]
• Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary ApproachesRadomil Matousek, René Pierre Lozi, Tomas Hulka. 572-579 [doi]
• Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on DecompositionFergal Stapleton, Edgar Galván. 580-587 [doi]
• Genetic Programming for Symbolic Regression: A Study on Fish Weight PredictionYunhan Yang, Bing Xue 0001, Linley Jesson, Mengjie Zhang 0001. 588-595 [doi]
• Multi-Objective Discovery of PDE Systems Using Evolutionary ApproachMikhail Maslyaev, Alexander Hvatov. 596-603 [doi]
• GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete DataBaligh Al-Helali, Qi Chen 0002, Bing Xue 0001, Mengjie Zhang 0001. 604-611 [doi]
• Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project SchedulingAli Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello. 612-619 [doi]
• A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing ProblemMengyi Niu, Ruochen Liu, Handing Wang. 620-627 [doi]
• Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing ProblemMazhar Ansari Ardeh, Yi Mei 0001, Mengjie Zhang 0001. 628-635 [doi]
• A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing ProblemShaolin Wang, Yi Mei 0001, Mengjie Zhang 0001. 636-643 [doi]
• Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic ProgrammingAtiya Masood, Gang Chen 0002, Mengjie Zhang 0001. 644-651 [doi]
• A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release DatesGaurav Srivastava 0002, Alok Singh 0001, Rammohan Mallipeddi. 652-659 [doi]
• Embedded Representations of Wikipedia CategoriesJan Majkutewicz, Julian Szymanski, Andrzej Sobecki, Higinio Mora, David Gil. 660-665 [doi]
• Meta-heuristic Algorithm As Feature Selector For Convolutional Neural NetworksDawid Polap, Marcin Wozniak, Jacek Mandziuk. 666-672 [doi]
• Heuristic Optimization Of 18-pulse Rectifier SystemAndrzej Sikora, Adam Zielonka, Marcin Wozniak. 673-680 [doi]
• Polar Bear Optimization For Industrial Computed Tomography With Incomplete DataMariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk. 681-687 [doi]
• Genetic Programming for Evolving Similarity Functions Tailored to Clustering AlgorithmsHayden Andersen, Andrew Lensen, Bing Xue 0001. 688-695 [doi]
• Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clusteringDaphne Teck Ching Lai, Yuji Sato. 696-703 [doi]
• Using Genetic Programming to Find Functional Mappings for UMAP EmbeddingsFinn Schofield, Andrew Lensen. 704-711 [doi]
• Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based SystemJ. Alvarado, J. Manuel Velasco, F. Chávez, José Ignacio Hidalgo, F. Fernández de Vega. 712-719 [doi]
• Optimal Control Policies to Address the Pandemic Health-Economy DilemmaRohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim. 720-727 [doi]
• Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 PandemicThomas 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. 728-735 [doi]
• Probabilistic Fitting of Glucose Models with Real-Coded Genetic AlgorithmsCarlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo. 736-743 [doi]
• Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image SegmentationTruong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall. 744-751 [doi]
• Particle Swarm Optimization for Feature Selection in Emotion CategorizationHarisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth. 752-759 [doi]
• Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based InitialisationKaan Demir, Bach Hoai Nguyen, Bing Xue 0001, Mengjie Zhang 0001. 760-767 [doi]
• An Entropy Driven Multiobjective Particle Swarm Optimization Algorithm for Feature SelectionJuanjuan Luo, Dongqing Zhou, Lingling Jiang, Huadong Ma. 768-775 [doi]
• Surrogate-Assisted Genetic Algorithm for Wrapper Feature SelectionMohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi. 776-785 [doi]
• A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in ClassificationAn-Da Li, Bing Xue 0001, Mengjie Zhang 0001. 786-793 [doi]
• Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification ProblemsArka Ghosh, Bing Xue, Mengjie Zhang 0001. 794-801 [doi]
• Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network ScienceZhendong Sha, Ting Hu, Yuanzhu Chen. 802-808 [doi]
• NL-SHADE-RSP Algorithm with Adaptive Archive and Selective Pressure for CEC 2021 Numerical OptimizationVladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin. 809-816 [doi]
• Self-adaptive Differential Evolution Algorithm with Population Size Reduction for Single Objective Bound-Constrained Optimization: Algorithm j21Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic. 817-824 [doi]
• A New Step-Size Adaptation Rule for CMA-ES Based on the Population Midpoint FitnessEryk Warchulski, Jaroslaw Arabas. 825-831 [doi]
• Improving Differential Evolution through Bayesian Hyperparameter OptimizationSubhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian. 832-840 [doi]
• Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark ProblemsAli Wagdy Mohamed, Anas A. Hadi, Prachi Agrawal, Karam M. Sallam, Ali Khater Mohamed. 841-848 [doi]
• Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical OptimisationPetr Bujok, Patrik Kolenovsky. 849-856 [doi]
• Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective OptimizationJakub Kudela. 857-862 [doi]
• Comparison with State-of-the-Art: Traps and PitfallsRafal Biedrzycki. 863-870 [doi]
• Benchmark Set Reduction for Cheap Empirical Algorithmic StudiesMustafa Misir. 871-877 [doi]
• Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary AlgorithmsKirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr. 878-885 [doi]
• Using Double Well Function as a Benchmark Function for Optimization AlgorithmPeng Wang, Guosong Yang. 886-892 [doi]
• A Population Prescreening Strategy for Kriging-Assisted Evolutionary ComputationDawei Zhan, Huanlai Xing. 893-900 [doi]
• Surrogate-assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-objective Bayesian OptimizationNobuo Namura. 901-908 [doi]
• A Data-Driven Multi-Objective Evolutionary Algorithm Based on Combinatorial Parallel Infilling CriterionChunna Li, Lianbo Yang, Chunlin Gong. 909-916 [doi]
• Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance ExplorationZhenhua Li, Christine A. Shoemaker. 917-925 [doi]
• Multi-Objective Evolutionary Design of Composite Data-Driven ModelsIana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya. 926-933 [doi]
• A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture DesignJunhao Huang, Bing Xue 0001, Yanan Sun, Mengjie Zhang 0001. 934-941 [doi]
• Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) EnsemblesRamya Anasseriyil Viswambaran, Gang Chen 0002, Bing Xue 0001, Mohammad Nekooei. 942-949 [doi]
• A Survey of Advances in Evolutionary Neural Architecture SearchXun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan. 950-957 [doi]
• Evolutionary Hyperparameter Optimisation for Sentence ClassificationBrendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato. 958-965 [doi]
• Evolutionary Neural Architecture Search by Mutual Information AnalysisShizuma Namekawa, Taro Tezuka. 966-972 [doi]
• New Evolutionary Method for Studying Physical Properties of Magneto Caloric MaterialsAnna Ouskova Leonteva, Radia Hamane, Michel Risser, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet. 973-980 [doi]
• A Binary NSGA-II Model for De-clustering Seismicity of Turkey and ChileAshish Sharma, Satyasai Jagannath Nanda, Rahul Kumar Vijay. 981-988 [doi]
• Predicting Disease Outbreaks with Climate DataTassallah Abdullahi, Geoff Nitschke. 989-996 [doi]
• A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case StudyMounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan. 997-1004 [doi]
• Geometry Assisted Energy Efficient Sweep Coverage Algorithm For Wireless Sensor NetworksFuyou Li, Bei Dong, Xiaojun Wu, HongShang Xu. 1005-1011 [doi]
• Three-Dimensional Robot Motion Design by Combining Interactive and Non-Interactive Evolutionary Computation for an Intelligent Transformable Phone Robot: BaBiJiansheng Liu, Satoshi Ono, Bilan Zhu. 1012-1019 [doi]
• Fuzzy Filtering in Large-Scale Prediction of Intrinsically Disordered Regions of Proteins on Apache SparkBozena Malysiak-Mrozek, Lukasz Bozek, Dariusz Mrozek. 1020-1027 [doi]
• A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional DataEzgi Zorarpaci. 1028-1036 [doi]
• 3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data VisualizationAbdelrahman Elewah, Abeer A. Badawi, Haytham Khalil, Shahryar Rahnamayan, Khalid Elgazzar. 1037-1046 [doi]
• Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition SolutionsAn Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo. 1047-1053 [doi]
• Using MajorClust Algorithm for Sandbox-based ATM SecurityMichal Maliszewski, Urszula Boryczka. 1054-1061 [doi]
• An Exploration-only Exploitation-only Hybrid for Large Scale Global OptimizationAntonio Bolufé Röhler, Dania Tamayo-Vera. 1062-1069 [doi]
• A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic AlgorithmFelipe Marchi, Rafael Stubs Parpinelli. 1070-1077 [doi]
• A Biologically-Inspired Model for Mass Extinction in Genetic AlgorithmsKaelan Engholdt, H. David Mathias. 1078-1085 [doi]
• IG-CEE: An Embedded Information Gain approach to Genetic AlgorithmsAlexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral. 1086-1092 [doi]
• Evolutionary Algorithms for Searching Almost-Equienergetic GraphsAarón Jiménez-Aparicio, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa. 1093-1098 [doi]
• Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function OptimizationMasahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono. 1099-1106 [doi]
• A Genetic Algorithm for the Nesting Problem With Continuous RotationsWesley H. B. Nunes, Mayron C. O. Moreira, Marina Andretta. 1107-1114 [doi]
• Machine Learning for Determining the Transition Point in Hybrid MetaheuristicsAntonio Bolufé Röhler, Ye Yuan. 1115-1122 [doi]
• Automated Development of Latent Representations for Optimization of Sequences Using AutoencodersPiotr Kaszuba, Maciej Komosinski, Agnieszka Mensfelt. 1123-1130 [doi]
• Local Optima Network Sampling for Permutation FlowshopLucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado. 1131-1138 [doi]
• The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape AnalysisUrban Skvorc, Tome Eftimov, Peter Korosec. 1139-1146 [doi]
• A Neural Approach to Generation of Constructive HeuristicsMohamad Alissa, Kevin Sim, Emma Hart. 1147-1154 [doi]
• Automated Design of Unfolded Metaheuristics and the Effect of Population SizeJorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay. 1155-1162 [doi]
• Enhancing Moea/d with Escape MechanismsBilel Derbel, Geoffrey Pruvost, Byung-Woo Hong. 1163-1170 [doi]
• Revisiting Pareto-Optimal Multi- and Many-Objective Reference Fronts for Continuous OptimizationGabriela Cavalcante da Silva, Elizabeth F. Wanner, Leonardo C. T. Bezerra, Thomas Stützle. 1171-1178 [doi]
• Investigating Constraint Relationship in Evolutionary Many-Constraint OptimizationMengjun Ming 0001, Rui Wang, Tao Zhang. 1179-1184 [doi]
• Towards a More Balanced Reference Set Adaptation Method: First ResultsLuis A. Márquez-Vega, Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna. 1185-1192 [doi]
• Multi-Modal Multi-Objective Evolutionary Optimization for Problems with Solutions of Variable-LengthAmiram Moshaiov, Yosef Breslav, Eliran Farhi. 1193-1200 [doi]
• An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective OptimizersAmín V. Bernabé Rodríguez, Carlos A. Coello Coello. 1201-1208 [doi]
• Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential EvolutionZakaria Oussalem, Rochan Avlur Venkat, Jahnavi Malagavalli, Arya Kumar Bhattacharya. 1209-1216 [doi]
• Fast Evolutionary Neural Architecture Search Based on Bayesian Surrogate ModelRui Shi, Jianping Luo, Qiqi Liu. 1217-1224 [doi]
• Multi-Objective Hyperparameter Optimization for Spiking Neural Network NeuroevolutionMaryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman. 1225-1232 [doi]
• Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based LearningSeyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer. 1233-1240 [doi]
• Evolving Neural Networks for Text Classification using Genetic Algorithm-based ApproachesHayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue 0001. 1241-1248 [doi]
• Evaluating Anytime Performance on NAS-Bench-101Carlos Vieira, Leslie Pérez Cáceres, Leonardo C. T. Bezerra. 1249-1256 [doi]
• Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive TransportRenan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb. 1257-1264 [doi]
• Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial TrainingMarcellus Smith, Brandon Brown, Gerry V. Dozier, Michael C. King. 1265-1271 [doi]
• Evaluation of Decision-making Strategies for Robots in Intralogistics Problems Using Multi-agent PlanningLeonardo Henrique Moreira, Célia Ghedini Ralha. 1272-1279 [doi]
• Multi Objective UAV Network Deployment for Dynamic Fire CoverageKripash Shrestha, Rahul Dubey, Ashutosh Singandhupe, Sushil J. Louis, Hung M. La. 1280-1287 [doi]
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