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ORCIDCEC 2021: Kraków, Poland
- IEEE Congress on Evolutionary Computation, CEC 2021, Kraków, Poland, June 28 - July 1, 2021. IEEE 2021, ISBN 978-1-7281-8393-0
- Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to Mutate for Differential Evolution. 1-8 - Valentino Santucci:
Is Algebraic Differential Evolution Really a Differential Evolution Scheme? 9-16 - Tetsuyuki Takahama, Setsuko Sakai:
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. 17-24 - Ismail M. Ali
, Hasan Hüseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah, Michael J. Ryan:
An Integrated Differential Evolution-based Heuristic Method for Product Family Design Problem. 25-32 - Jing Wei, Zuling Wang, Yangyan Xu, Ze Chen:
A Differential Evolution with Multi-factor Ranking Based Parameter Adaptation for Global Optimization. 33-40 - Hao Bai, Changwu Huang, Xin Yao:
Adaptive Differential Evolution based on Exploration and Exploitation Control. 41-48 - Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Daniel Gutiérrez-Reina, Pablo Millán Gata:
A Genetic Algorithm To Optimize Penstocks For Micro-Hydro Power Plants. 49-56 - Darren M. Chitty:
An Ant Colony Optimisation Inspired Crossover Operator for Permutation Type Problems. 57-64 - N. Hesam Mahmoudi Nezhad, Mohamad Ghaffarian Niasar:
Genetic Algorithm Performance and the Influence of its Control Parameters on the Optimization of Optical Lens Design. 65-70 - Samuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. 71-78 - Raphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral:
gaCNN: Composing CNNs and GAs to Build an Optimized Hybrid Classification Architecture. 79-86 - Do Tuan Anh, Huynh Thi Thanh Binh, Nguyen Hoang Long, Ta Bao Thang, Simon Su:
A Two-level Genetic Algorithm for Inter-domain Path Computation under Node-defined Domain Uniqueness Constraints. 87-94 - Rashi Gupta, Satyasai Jagannath Nanda:
Solving Dynamic Many-objective TSP using NSGA-III equipped with SVR-RBF Kernel Predictor. 95-102 - Zhening Liu, Handing Wang:
Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning. 103-110 - Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang:
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. 111-118 - Sheng-Hao Wu, Ke-Jing Du, Zhi-Hui Zhan, Hua Wang, Jun Zhang:
Historical Information-based Differential Evolution for Dynamic Optimization Problem. 119-126 - Christina Plump, Bernhard J. Berger, Rolf Drechsler:
Improving Evolutionary Algorithms by Enhancing an Approximative Fitness Function through Prediction Intervals. 127-135 - Wenlei Bai, Xinxin Zhu, Kwang Y. Lee:
Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model. 136-143 - Kai Eivind Wu, George Panoutsos:
A New Diversity Performance Indicator for Many-Objective Optimisation Problems. 144-152 - Zhou Zhou, Zuling Wang, Tingting Pang, Jing Wei, Ze Chen:
A Competition-Cooperation Evolutionary Algorithm with Bidirectional Multi-population Local Search and Local Hypervolume-based Strategy for Multi-objective Optimization. 153-160 - Kei Nishihara, Masaya Nakata:
Comparison of Adaptive Differential Evolution Algorithms on the MOEA/D-DE Framework. 161-168 - Tingrui Liu, Shenmin Song, Xin Li, Liguo Tan:
Approximating Pareto Optimal Set by An Incremental Learning Model. 169-176 - Zhouwu Xu, Jing Liu, Baihao Qiao, Yating Cao:
MOEA/D Using Dynamic Weight Vectors and Stable Matching Schemes for the Deployment of Multiple Airships in the Earth Observing System. 177-184 - Guiyu Lai, Minhui Liao, Ke Li:
Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization. 185-192 - Carolina Gil Marcelino, Lucas B. de Oliveira, Elizabeth F. Wanner, Carla A. D. M. Delgado, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
A Hybrid Multiobjective Solution for the Short-term Hydro-power Dispatch Problem: a Swarm Evolutionary Approach. 193-200 - Rafal Biedrzycki, Kamil Kwiatkowski, Pawel Cichosz:
Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. 201-208 - Italo Ramon da Costa Campos, Filipe Saraiva:
A Reactive Multi-agent System for Self-healing in Smart Distribution Grids. 209-216 - Tran Thi Huong, Le Van Cuong, Nguyen Ngoc Bao, Ngo Minh Hai, Huynh Thi Thanh Binh:
Effective Partial Charging Scheme For Minimizing The Energy Depletion And Charging Cost In Wireless Rechargeable Sensor Networks. 217-224 - José Almeida, João P. Soares, Bruno Canizes, Fernando Lezama, Mohammad Ali Fotouhi Ghazvini, Zita A. Vale:
Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. 225-232 - Eduardo Lacerda, Fernando Lezama, João P. Soares, Zita A. Vale:
DSO Contract Market for Demand Response Using Evolutionary Computation. 233-240 - Xiaosong Luo, Zhao-Hui Sun, Siqi Qiu:
Ant Colony System Based Drone Scheduling For Ship Emission Monitoring. 241-247 - Zhuang-Jie Deng, Liu-Yue Luo, Zhi-Hui Zhan, Jun Zhang:
Knowledge Embedding-Assisted Multi-Exemplar Learning Particle Swarm Optimization for Traffic Signal Timing Optimization. 248-255 - Kenjiro Takahashi, Yoshikazu Fukuyama, Shuhei Kawaguchi, Takaomi Sato:
Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization. 256-263 - Egor Smirnov, Sergei Kudinov:
Using a Genetic Algorithm for Planning Interesting Tourist Routes in the City on the Basis of Open Street Map Data. 264-271 - Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang:
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. 272-279 - Laurence Hirsch, Alessandro G. Di Nuovo, Prasanna S. Haddela:
Document Clustering with Evolved Single Word Search Queries. 280-287 - Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA-based Visual Feature Selection and Context Integration. 288-295 - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. 296-303 - Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama:
XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data. 304-310 - Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama:
Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. 311-318 - Gabriel M. C. Leite, Carolina Gil Marcelino, Elizabeth F. Wanner, Carlos Eduardo Pedreira, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Pattern Classification Applying Neighbourhood Component Analysis and Swarm Evolutionary Algorithms: A Coupled Methodology. 319-326 - Junyuan Chen, Jing Liu:
A Memetic Algorithm for Optimizing Inter-links to Enhance the Robustness of Interdependent Networks Against Malicious Attacks. 327-334 - Ferrante Neri, Yuyang Zhou:
Covariance Pattern Search with Eigenvalue-determined Radii. 335-342 - Hanan Ba Ali, Adam Roman:
Designing Urban Transit Network using Memetic Algorithm. 343-350 - Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi, Aitor Moreno-Fernandez-de-Leceta:
Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem. 351-358 - Azam Asilian Bidgoli, Shahryar Rahnamayan:
Memetic Differential Evolution Using Coordinate Descent. 359-366 - Zi-Xiao Pan, Ling Wang, Jing-Fang Chen, Yuting Wu:
A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling. 367-374 - Luiz Henrique Nogueira Lorena, Luiz Antonio Nogueira Lorena, Antonio Augusto Chaves:
A Biased Random-key Genetic Algorithm with a Local Search Component for the Optimal Bucket Order Problem. 375-382 - Sho Shimazu, Isao Ono:
An Evolutionary Algorithm Taking Account of Epistasis among Parameters for Black-Box Discrete Optimization. 383-390 - Imanol Unanue, María Merino, José Antonio Lozano:
A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems. 391-398 - Roberto Pietrantuono:
Automated Hypotheses Generation via Combinatorial Causal Optimization. 399-407 - Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Madalina Raschip, Mihaela Elena Breaban:
An Evolutionary Approach for Solving Multi-Objective WCSPs Using Mini-Bucket Elimination Heuristics. 408-415 - Vicente P. Soloviev, Concha Bielza, Pedro Larrañaga:
Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem. 416-425 - José Santos Reyes, Héctor Rivas:
Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction. 426-433 - Emilia Rutkowski, James Sargant, Sheridan K. Houghten, Joseph Alexander Brown:
Evaluation of Communities from Exploratory Evolutionary Compression of Weighted Graphs. 434-441 - Mariel Barbachan e Silva, Pedro Henrique Narloch, Márcio Dorn, Pilib Ó Broin:
Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. 442-449 - Rodrigo Vega Jimenez, Michael Dubé, Sheridan K. Houghten, James Alexander Hughes:
Weighting on the World to Change... an Epidemic. 450-457 - Laurence Rodrigues do Amaral, Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Estevam Rafael Hruschka:
Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) Biocurator. 458-465 - Larissa M. Fraga, Gina Maira Barbosa de Oliveira, Luiz G. A. Martins:
Multistage Evolutionary Strategies for Adjusting a Cellular Automata-based Epidemiological Model. 466-473 - Bruno M. P. Silva, Heder S. Bernardino, Helio J. C. Barbosa:
Human Activity Recognition Using Parallel Cartesian Genetic Programming. 474-481 - Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. 482-489 - Yong Wee Foo, Cindy Goh:
Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network. 490-497 - Andrew W. Rafe, Jaime Andres Garcia, William L. Raffe:
Exploration Of Encoding And Decoding Methods For Spiking Neural Networks On The Cart Pole And Lunar Lander Problems Using Evolutionary Training. 498-505 - Charlie T. Veal, Marshall Lindsay, Scott D. Kovaleski, Derek T. Anderson, Stanton R. Price:
A Comparison of Evolutionary and Neural Attention Modeling Relative to Adversarial Learning. 506-513 - Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel:
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. 514-521 - Victor Parque:
A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control Tuning. 522-529 - Behzad Saemi, Mehdi Sadeghilalimi, Ali Asghar Rahmani Hosseinabadi, Malek Mouhoub, Samira Sadaoui:
A New Optimization Approach for Task Scheduling Problem Using Water Cycle Algorithm in Mobile Cloud Computing. 530-539 - Christina Plump, Bernhard J. Berger, Rolf Drechsler:
Domain-driven Correlation-aware Recombination and Mutation Operators for Complex Real-world Applications. 540-548 - Ravindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy:
Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable Manufacturing. 549-555 - Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah:
A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. 556-563 - Lushen Liao, Adam Kotaro Pindur, Hitoshi Iba:
Genetic Programming with Random Binary Decomposition for Multi-Class Classification Problems. 564-571 - Radomil Matousek, René Pierre Lozi, Tomas Hulka:
Stabilization of Higher Periodic Orbits of the Lozi and Hénon Maps using Meta-evolutionary Approaches. 572-579 - Fergal Stapleton, Edgar Galván:
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition. 580-587 - Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang:
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. 588-595 - Mikhail Maslyaev, Alexander Hvatov:
Multi-Objective Discovery of PDE Systems Using Evolutionary Approach. 596-603 - Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. 604-611 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. 612-619 - Mengyi Niu, Ruochen Liu, Handing Wang:
A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing Problem. 620-627 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. 628-635 - Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. 636-643 - Atiya Masood, Gang Chen, Mengjie Zhang:
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. 644-651 - Gaurav Srivastava, Alok Singh, Rammohan Mallipeddi:
A Hybrid Discrete Differential Evolution Approach for the Single Machine Total Stepwise Tardiness Problem with Release Dates. 652-659 - Jan Majkutewicz, Julian Szymanski, Andrzej Sobecki, Higinio Mora, David Gil:
Embedded Representations of Wikipedia Categories. 660-665 - Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Meta-heuristic Algorithm As Feature Selector For Convolutional Neural Networks. 666-672 - Andrzej Sikora, Adam Zielonka, Marcin Wozniak:
Heuristic Optimization Of 18-pulse Rectifier System. 673-680 - Mariusz Pleszczynski, Adam Zielonka, Dawid Polap, Marcin Wozniak, Jacek Mandziuk:
Polar Bear Optimization For Industrial Computed Tomography With Incomplete Data. 681-687 - Hayden Andersen, Andrew Lensen, Bing Xue:
Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms. 688-695 - Daphne Teck Ching Lai, Yuji Sato:
Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering. 696-703 - Finn Schofield, Andrew Lensen:
Using Genetic Programming to Find Functional Mappings for UMAP Embeddings. 704-711 - Jorge Alvarado, J. Manuel Velasco, Francisco Chávez de la O, José Ignacio Hidalgo, Francisco Fernández de Vega:
Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. 712-719 - Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. 720-727 - 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:
Optimization and Adaptation of a Resource Planning Tool for Hospitals Under Special Consideration of the COVID-19 Pandemic. 728-735 - Carlos Cervigón, J. Manuel Velasco, Clara Burgos Simón, Rafael J. Villanueva, José Ignacio Hidalgo:
Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms. 736-743 - Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall:
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. 744-751 - Harisu Abdullahi Shehu, Will N. Browne, Hedwig Eisenbarth:
Particle Swarm Optimization for Feature Selection in Emotion Categorization. 752-759 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. 760-767 - Juanjuan Luo, Dongqing Zhou, Lingling Jiang, Huadong Ma:
An Entropy Driven Multiobjective Particle Swarm Optimization Algorithm for Feature Selection. 768-775 - Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. 776-785 - An-Da Li, Bing Xue, Mengjie Zhang:
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. 786-793 - Arka Ghosh, Bing Xue, Mengjie Zhang:
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. 794-801 - Zhendong Sha, Ting Hu, Yuanzhu Chen:
Feature Selection for Polygenic Risk Scores using Genetic Algorithm and Network Science. 802-808 - Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin:
NL-SHADE-RSP Algorithm with Adaptive Archive and Selective Pressure for CEC 2021 Numerical Optimization. 809-816 - Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic:
Self-adaptive Differential Evolution Algorithm with Population Size Reduction for Single Objective Bound-Constrained Optimization: Algorithm j21. 817-824 - Eryk Warchulski, Jaroslaw Arabas:
A New Step-Size Adaptation Rule for CMA-ES Based on the Population Midpoint Fitness. 825-831 - Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian:
Improving Differential Evolution through Bayesian Hyperparameter Optimization. 832-840 - Ali Wagdy Mohamed, Anas A. Hadi, Prachi Agrawal, Karam M. Sallam, Ali Khater Mohamed:
Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems. 841-848 - Petr Bujok, Patrik Kolenovsky:
Differential Evolution with Distance-based Mutation-selection Applied to CEC 2021 Single Objective Numerical Optimisation. 849-856 - Jakub Kudela:
Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization. 857-862 - Rafal Biedrzycki:
Comparison with State-of-the-Art: Traps and Pitfalls. 863-870 - Mustafa Misir:
Benchmark Set Reduction for Cheap Empirical Algorithmic Studies. 871-877 - Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr:
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. 878-885 - Peng Wang, Guosong Yang:
Using Double Well Function as a Benchmark Function for Optimization Algorithm. 886-892 - Dawei Zhan, Huanlai Xing:
A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. 893-900 - Nobuo Namura:
Surrogate-assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-objective Bayesian Optimization. 901-908 - Chunna Li, Lianbo Yang, Chunlin Gong:
A Data-Driven Multi-Objective Evolutionary Algorithm Based on Combinatorial Parallel Infilling Criterion. 909-916 - Zhenhua Li, Christine A. Shoemaker:
Hyper-Parameter Optimization for Deep Learning by Surrogate-based Model with Weighted Distance Exploration. 917-925 - Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya:
Multi-Objective Evolutionary Design of Composite Data-Driven Models. 926-933 - Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. 934-941 - Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. 942-949 - Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan:
A Survey of Advances in Evolutionary Neural Architecture Search. 950-957 - Brendan Rogers, Nasimul Noman, Stephan K. Chalup, Pablo Moscato:
Evolutionary Hyperparameter Optimisation for Sentence Classification. 958-965 - Shizuma Namekawa, Taro Tezuka:
Evolutionary Neural Architecture Search by Mutual Information Analysis. 966-972 - Anna Ouskova Leonteva, Radia Hamane, Michel Risser, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
New Evolutionary Method for Studying Physical Properties of Magneto Caloric Materials. 973-980 - Ashish Sharma, Satyasai Jagannath Nanda, Rahul Kumar Vijay:
A Binary NSGA-II Model for De-clustering Seismicity of Turkey and Chile. 981-988 - Tassallah Abdullahi, Geoff Nitschke:
Predicting Disease Outbreaks with Climate Data. 989-996 - Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan:
A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. 997-1004 - Fuyou Li, Bei Dong, Xiaojun Wu, HongShang Xu:
Geometry Assisted Energy Efficient Sweep Coverage Algorithm For Wireless Sensor Networks. 1005-1011 - Jiansheng Liu, Satoshi Ono, Bilan Zhu:
Three-Dimensional Robot Motion Design by Combining Interactive and Non-Interactive Evolutionary Computation for an Intelligent Transformable Phone Robot: BaBi. 1012-1019 - Bozena Malysiak-Mrozek, Lukasz Bozek, Dariusz Mrozek:
Fuzzy Filtering in Large-Scale Prediction of Intrinsically Disordered Regions of Proteins on Apache Spark. 1020-1027 - Ezgi Zorarpaci:
A Hybrid Dimension Reduction Based Linear Discriminant Analysis for Classification of High-Dimensional Data. 1028-1036 - Abdelrahman Elewah, Abeer A. Badawi, Haytham Khalil, Shahryar Rahnamayan, Khalid Elgazzar:
3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization. 1037-1046 - An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo:
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. 1047-1053 - Michal Maliszewski, Urszula Boryczka:
Using MajorClust Algorithm for Sandbox-based ATM Security. 1054-1061 - Antonio Bolufé Röhler, Dania Tamayo-Vera:
An Exploration-only Exploitation-only Hybrid for Large Scale Global Optimization. 1062-1069 - Felipe Marchi, Rafael Stubs Parpinelli:
A Multi-objective Approach to the Protein Structure Prediction Problem using the Biased Random-Key Genetic Algorithm. 1070-1077 - Kaelan Engholdt, H. David Mathias:
A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms. 1078-1085 - Alexandre Henrick da Silva Alves, Raphael de Lima Mendes, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral:
IG-CEE: An Embedded Information Gain approach to Genetic Algorithms. 1086-1092 - Aarón Jiménez-Aparicio, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa:
Evolutionary Algorithms for Searching Almost-Equienergetic Graphs. 1093-1098 - Masahiro Nomura, Nobuyuki Sakai, Nobusumi Fukushima, Isao Ono:
Distance-weighted Exponential Natural Evolution Strategy for Implicitly Constrained Black-Box Function Optimization. 1099-1106 - Wesley H. B. Nunes, Mayron C. O. Moreira, Marina Andretta:
A Genetic Algorithm for the Nesting Problem With Continuous Rotations. 1107-1114 - Antonio Bolufé Röhler, Ye Yuan:
Machine Learning for Determining the Transition Point in Hybrid Metaheuristics. 1115-1122 - Piotr Kaszuba, Maciej Komosinski, Agnieszka Mensfelt:
Automated Development of Latent Representations for Optimization of Sequences Using Autoencoders. 1123-1130 - Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado:
Local Optima Network Sampling for Permutation Flowshop. 1131-1138 - Urban Skvorc, Tome Eftimov, Peter Korosec:
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. 1139-1146 - Mohamad Alissa, Kevin Sim, Emma Hart:
A Neural Approach to Generation of Constructive Heuristics. 1147-1154 - Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Nelishia Pillay:
Automated Design of Unfolded Metaheuristics and the Effect of Population Size. 1155-1162 - Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong:
Enhancing Moea/d with Escape Mechanisms. 1163-1170 - Gabriela Cavalcante da Silva, Elizabeth F. Wanner, Leonardo C. T. Bezerra, Thomas Stützle:
Revisiting Pareto-Optimal Multi- and Many-Objective Reference Fronts for Continuous Optimization. 1171-1178 - Mengjun Ming, Rui Wang, Tao Zhang:
Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization. 1179-1184 - Luis A. Márquez-Vega, Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna:
Towards a More Balanced Reference Set Adaptation Method: First Results. 1185-1192 - Amiram Moshaiov, Yosef Breslav, Eliran Farhi:
Multi-Modal Multi-Objective Evolutionary Optimization for Problems with Solutions of Variable-Length. 1193-1200 - Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers. 1201-1208 - Zakaria Oussalem, Rochan Avlur Venkat, Jahnavi Malagavalli, Arya Kumar Bhattacharya:
Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution. 1209-1216 - Rui Shi, Jianping Luo, Qiqi Liu:
Fast Evolutionary Neural Architecture Search Based on Bayesian Surrogate Model. 1217-1224 - Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman:
Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. 1225-1232 - Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer:
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. 1233-1240 - Hayden Andersen, Sean Stevenson, Tuan Ha, Xiaoying Gao, Bing Xue:
Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches. 1241-1248 - Carlos Vieira, Leslie Pérez Cáceres, Leonardo C. T. Bezerra:
Evaluating Anytime Performance on NAS-Bench-101. 1249-1256 - Renan Santos Mendes, Elizabeth F. Wanner, Flávio V. C. Martins, Kalyanmoy Deb:
Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport. 1257-1264 - Marcellus Smith, Brandon Brown, Gerry V. Dozier, Michael C. King:
Mitigating Attacks on Fake News Detection Systems using Genetic-Based Adversarial Training. 1265-1271 - Leonardo Henrique Moreira, Célia Ghedini Ralha:
Evaluation of Decision-making Strategies for Robots in Intralogistics Problems Using Multi-agent Planning. 1272-1279 - Kripash Shrestha, Rahul Dubey, Ashutosh Singandhupe, Sushil J. Louis, Hung M. La:
Multi Objective UAV Network Deployment for Dynamic Fire Coverage. 1280-1287 - Yue Xie, Aneta Neumann, Frank Neumann:
Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. 1288-1295 - Rodrigo Francisquini, Tiago Tiburcio da Silva, Mariá C. V. Nascimento:
Detecting Anomalies In Daily COVID-19 Cases Data From Brazil Capitals Using GSP Theory. 1296-1303 - Fevzi Tugrul Varna, Phil Husbands:
Genetic Algorithm Assisted HIDMS-PSO: A New Hybrid Algorithm for Global Optimisation. 1304-1311 - John Oyekan:
Multi-Objective Optimisation of Robotic Active Particle Swarms for Continuous Repair of Large Scale High Value Structures. 1312-1318 - Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Xinyu Zhou:
A Niche Based Multi-objective Particle Swarm Optimizer. 1319-1326 - Kanta Matsumoto, Chihiro Ikuta:
PSO with Coupled Map Lattice and Worker Ant's Law. 1327-1332 - Jun Liu, Tianyun Shi, Xiaoning Ma, Rui Xue, Min Liu:
Optimal Train Speed Optimization under Several Safety Points by the PSO Algorithm. 1333-1340 - Krzysztof Wójcik, Tomasz Kulpa, Krzysztof Trojanowski:
Upper Bounds for Particle Location Variance Convergence Measures in the Stochastic Model of Particle Swarm. 1341-1348 - Samuel C. A. Basílio, Afonso C. C. Lemonge, Érica C. R. Carvalho:
A Population Size Dynamic Reduction Criterion in PSO Algorithms. 1349-1356 - Jun Yu, Zitong Wang, Yan Pei:
Cooperative Chaotic Evolution. 1357-1364 - Gustavo Delazeri, Marcus Ritt:
Fast Heuristics for Traveling Salesman Problems with Multiple Flying Sidekicks. 1365-1371 - Stephen A. Adubi, Olufunke O. Oladipupo, Oludayo O. Olugbara:
Configuring the Perturbation Operations of an Iterated Local Search Algorithm for Cross-domain Search: A Probabilistic Learning Approach. 1372-1379 - Tami Alghamdi, Robert B. Heckendorn:
An Evolutionary Computation Based Model for Testing Transfer Learning Strategies. 1380-1389 - Fynn Terhar, Christian Icking:
The Sectional Art Gallery and an Evolutionary Algorithm for Approaching Its Minimum Point Guard Problem. 1390-1397 - Fevzi Tugrul Varna, Phil Husbands:
HIDMS-PSO with Bio-inspired Fission-Fusion Behaviour and a Quorum Decision Mechanism. 1398-1405 - Maiyue Chen, Ying Tan:
Exponentially Decaying Explosion in Fireworks Algorithm. 1406-1413 - Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile:
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. 1414-1422 - Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga:
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. 1423-1430 - Erik Pitzer, Michael Affenzeller:
Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms. 1431-1438 - Shreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi:
Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization. 1439-1446 - Victor Parque:
Tackling the Subset Sum Problem with Fixed Size using an Integer Representation Scheme. 1447-1453 - Paulo Pinheiro Junqueira, Ivan Reinaldo Meneghini, Frederico Gadelha Guimarães:
Local Neighborhood-Based Adaptation of Weights in Multi-Objective Evolutionary Algorithms Based on Decomposition. 1454-1461 - Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato:
Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA. 1462-1469 - Hugo Monzón Maldonado, Saúl Zapotecas Martínez:
A Dynamic Penalty Function within MOEA/D for Constrained Multi-objective Optimization Problems. 1470-1477 - Adham Salih, Amiram Moshaiov:
Modified Decomposition Framework and Algorithm for Many-objective Topology and Weight Evolution of Neural Networks. 1478-1485 - Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. 1486-1494 - Mikiko Sato, Yuji Sato, Mads A. Midtlyng, Minami Miyakawa:
Inconstant Update of Reference Point Value for Parallel and Distributed MOEA/D. 1495-1502 - Finley J. Gibson, Richard M. Everson, Jonathan E. Fieldsend:
Multi-Objective Bayesian Optimisation Using an Exploitative Attainment Front Acquisition Function. 1503-1510 - Federico Peralta, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral:
Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study. 1511-1518 - Koki Tsujino, Tomohiro Harada, Ruck Thawonmas:
Adaptation of Search Generations in Extreme Learning Assisted MOEA/D Based on Estimation Accuracy of Surrogate Model. 1519-1526 - Chang Cao, Xiaofen Lu, Yachen Li, Junda Zhu, Ke Tang:
The Performance Effect of Model Accuracy on Classification-Assisted Evolutionary Algorithms. 1527-1536 - Yiming Yao, Xudong Yang:
Efficient Global Multi-Objective Aerodynamic Optimization Using Combined Multi-Point Infilling Strategy and Surrogate Models. 1537-1542 - Maísa Kely de Melo, Rodrigo T. N. Cardoso, Tales Argolo Jesus:
A Genetic Algorithm For Investment Tracking With Stochastic Model Predictive Control. 1543-1550 - Hussain Alibrahim, Simone A. Ludwig:
Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization. 1551-1559 - Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho:
A Simulated IMO-DRSA Approach for Cognitive Reduction in Multiobjective Financial Portfolio Interactive Optimization. 1560-1568 - Thiago Wanderley De Amorim, Julio Cezar Soares Silva, Adiel Teixeira de Almeida Filho:
Evaluation of Index Tracking Portfolios During the COVID-19 Pandemic. 1569-1576 - Víctor Vargas-Pérez, Manuel Chica, Oscar Cordón:
IPOP-CMA-ES and the Influence of Different Deviation Measures for Agent-Based Model Calibration. 1577-1584 - Lijun Sun, Chao Lyu, Yuhui Shi, Chin-Teng Lin:
Multiple-Preys Pursuit based on Biquadratic Assignment Problem. 1585-1592 - Amanda Saunders, Daniel A. Ashlock, Julie Greensmith:
Necrotic Behavioral Control of Agent Behavior in the Iterated Prisoner's Dilemma. 1593-1600 - Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. 1601-1608 - Pavlos Androulakakis, Zachariah E. Fuchs:
The Effects of Initial Condition Selection on the Evolution of a Turn Circle Intercept Feedback Controller. 1609-1618 - Amani R. Maina-Kilaas, Cynthia Hom, Kevin Ginta, George D. Montañez:
The Predator's Purpose: Intention Perception in Simulated Agent Environments. 1619-1626 - Malek Abbassi, Abir Chaabani, Lamjed Ben Said, Nabil Absi:
An Approximation-based Chemical Reaction Algorithm for Combinatorial Multi-Objective Bi-level Optimization Problems. 1627-1634 - Bing Wang, Hemant Kumar Singh, Tapabrata Ray:
Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization. 1635-1642 - Lei Chen, Hai-Lin Liu:
Transfer Learning Based Evolutionary Algorithm for Bi-level Optimization Problems. 1643-1647 - Srivathsa Gottipati, Praveen Paruchuri:
A Genetic Algorithm Approach to Compute Mixed Strategy Solutions for General Stackelberg Games. 1648-1655 - Tran Cong Dao, Tran Huy Hung, Nguyen Thi Tam, Huynh Thi Thanh Binh:
A Multifactorial Evolutionary Algorithm For Minimum Energy Cost Data Aggregation Tree In Wireless Sensor Networks. 1656-1663 - Le Tien Thanh, Le Van Cuong, Ta Bao Thang, Huynh Thi Thanh Binh:
Multi-Armed Bandits for Many-Task Evolutionary Optimization. 1664-1671 - Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong:
EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding. 1672-1679 - Ronghong Cai, Jianping Luo:
Multi-Task Learning for Multi-Objective Evolutionary Neural Architecture Search. 1680-1687 - Le Van Cuong, Tran Thi Huong, Huynh Thi Thanh Binh:
A Multi-task Approach For Maximum Survival Ratio Problem In Large-Scale Wireless Rechargeable Sensor Networks. 1688-1695 - Mengfan Xu, Zexuan Zhu, Yutao Qi, Lei Wang, Xiaoliang Ma:
An Adaptive Multi-objective Multifactorial Evolutionary Algorithm Based on Mixture Gaussian Distribution. 1696-1703 - Bo Jin:
Multi-Objective A* Algorithm for the Multimodal Multi-Objective Path Planning Optimization. 1704-1711 - Nan-Jiang Dong, Rui Wang, Tao Zhang:
A New Encoding Mechanism Embedded Evolutionary Algorithm for UAV Route Planning. 1712-1718 - Jiaqi Zhao, Zhijie Jia, Yong Zhou, Ruihao Zhang, Zeming Xie, Zikang Xu, Yuxin Li, Di Zhang:
Path Planning based on Multi-objective Topological Map. 1719-1726 - Yi Hu, Jing Liang, Boyang Qu, Jie Wang, Yanli Wang, Panpan Wei:
Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting. 1727-1734 - Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang:
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. 1735-1742 - Eliana Giovannitti, Sayyid Shahab Nabavi, Giovanni Squillero, Alberto Tonda:
Exploiting Artificial Swarms for the Virtual Measurement of Backlash in Industrial Robots. 1743-1750 - Zhicheng Zheng, Yanan Li, Xiaokang Lei, Xingguang Peng:
Optimizing Parameters of Self-Organizing Model for Swarm Robots via Evolutionary Algorithms. 1751-1758 - Qing Cai, Haojie Ang, Sameer Alam:
A Multiobjective Optimization Approach for Reducing Air Traffic Collision Risk. 1759-1766 - Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel:
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. 1767-1776 - Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez-Reina, Alejandro Tapia Córdoba:
Autonomous Monitoring System for Water Resources based on PSO and Gaussian Process. 1777-1784 - Michal Witold Przewozniczek, Marcin M. Komarnicki:
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation. 1785-1791 - Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu:
Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. 1792-1799 - Tobias Benecke, Sanaz Mostaghim:
Tracking the Heritage of Genes in Evolutionary Algorithms. 1800-1807 - Yuanliang Gao, Sheung-Hung Poon:
A Genetic Algorithm for Scheduling Splittable Tasks with Precedence Constraints. 1808-1816 - Weijian Ma, Xinyuan Zhang, Yichen Xu, Fei Gao:
Loading is the Key: A Novel Genetic Quantum Algorithm for SDVRP. 1817-1825 - Giovanni Acampora, Michele Grossi, Autilia Vitiello:
Genetic Algorithms for Error Mitigation in Quantum Measurement. 1826-1832 - Hatem M. H. Saad, Ripon K. Chakrabortty, Saber M. Elsayed:
Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary Study. 1833-1839 - Margarita Antoniou, Gasper Petelin, Gregor Papa:
Preferred Solutions of the Ground Station Scheduling Problem using NSGA-III with Weighted Reference Points Selection. 1840-1847 - Sai Panda, Yi Mei:
Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. 1848-1855 - Yating Cao, Jing Liu, Zhouwu Xu:
A Dynamic Multiagent Genetic Algorithm for Optimal Charging in Wireless Rechargeable Sensor Networks. 1856-1863 - João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. 1864-1871 - Jordan MacLachlan, Yi Mei:
Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. 1872-1879 - Yongbo Yu, Hui Ma, Gang Chen:
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. 1880-1887 - Liang Fan, Xudong Feng, Handing Wang:
An Adaptive Formulation-based Many-Objective Evolutionary Algorithm for Multi-Scenario Optimization in Data Enrichment. 1888-1895 - Junchao Fang, Wei Fang:
A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance. 1896-1903 - Jerzy Balicki, Piotr Dryja:
Multi-objective Tabu-based Differential Evolution for Teleportation of Smart Virtual Machines in Private Computing Clouds. 1904-1911 - Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. 1912-1920 - Sandra M. Venske, Carolina P. de Almeida, Myriam Regattieri Delgado:
Comparing Selection Hyper-Heuristics for Many-Objective Numerical Optimization. 1921-1928 - Kai Eivind Wu, George Panoutsos:
A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. 1929-1937 - Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. 1938-1945 - Xu Yang, Rui Wang, Wenhua Li:
Helper Objective Assisted Evolutionary Algorithm for Multi-modal Optimization. 1946-1952 - Wenhao Du, Zhigang Ren, An Chen, Hanqing Liu:
A Knowledge Transfer-Based Evolutionary Algorithm for Multimodal Optimization. 1953-1960 - Wenjian Luo, Xin Lin, Jiajia Zhang, Mike Preuss:
A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. 1961-1967 - Jian Yang, Yuhui Shi:
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems. 1968-1975 - Dongyang Li, Weian Guo, Lei Wang, Qidi Wu:
A Modified APSODEE for Large Scale Optimization. 1976-1982 - Aljosa Vodopija, Beate Breiderhoff, Boris Naujoks, Bogdan Filipic:
Design of Cyclone Dust Separators: A Constrained Multiobjective Optimization Perspective. 1983-1990 - Aleksandr V. Grin, Amir H. Gandomi:
Advancing Genetic Programming via Information Theory. 1991-1998 - Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi:
An Evolutionary Framework for Real-Time Fraudulent Credit Detection. 1999-2006 - Gabriel Souto, Igor Morais, Liss Faulhaber, Glaydston Mattos Ribeiro, Pedro Henrique González:
A Hybrid BRKGA Approach for the Two Stage Capacitated Facility Location Problem. 2007-2014 - Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. 2015-2022 - Chun-Yien Chang, Ying-Ping Chen:
Contrapuntal Composition and Autonomous Style Development of Organum Motets by using AntsOMG. 2023-2030 - Wei Zheng, Xin Liu, Jianyong Sun:
Continuous Encoding for Community Detection in Attribute Networks with Preserving Node Information. 2031-2038 - Benjamin Mario Sainz-Tinajero, Andrés Eduardo Gutiérrez-Rodríguez, Hector G. Ceballos, Francisco J. Cantú Ortiz:
Evolutionary Clustering Algorithm Using Supervised Classifiers. 2039-2045 - Kenneth Brezinski, Ken Ferens:
Complexity-Based Lambda Layer for Time Series Prediction. 2046-2052 - Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang:
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. 2053-2060 - Robert J. Smith, Ryan Amaral, Malcolm I. Heywood:
Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. 2061-2068 - Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
Hullingversus Clustering - Two Complementary Applications of Non-Negative Matrix Factorization. 2069-2076 - Brian Chen, Siddhant Tandon, David J. Gorsich, Alex A. Gorodetsky, Shravan K. Veerapaneni:
Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. 2077-2084 - Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez Liebana:
Portfolio Search and Optimization for General Strategy Game-Playing. 2085-2092 - Julius Flimmel, Jakub Gemrot, Vojtech Cerný:
Coevolution of AI and Level Generators for Super Mario Game. 2093-2100 - Siddhartha Shakya, Kin Fai Poon, Khawla AlShanqiti, Anis Ouali, Andrei Sleptchenko:
Investigating binary EAs for Passive In-Building Distributed Antenna Systems. 2101-2108 - João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. 2109-2116 - Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. 2117-2124 - Lucija Planinic, Marko Durasevic, Domagoj Jakobovic:
On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules. 2125-2132 - Bráulio M. O. Portela, Heder S. Bernardino, Luciana Brugiolo Gonçalves, Stênio Sã Rosário Furtado Soares:
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. 2133-2140 - Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang:
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. 2141-2148 - Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. 2149-2155 - Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming:
An Improved Weighted Optimization-based Framework for Large-scale MOPs. 2156-2163 - Zijian Cao, Chen Liu, Zhenyu Wang, Haowen Jia:
An Improved MOEA/D Framework with Multoperator Strategies for Multi-objective Optimization Problems with a Large Scale of Variables. 2164-2170 - Fei-Yu Liu, Chao Qian:
Prediction Guided Meta-Learning for Multi-Objective Reinforcement Learning. 2171-2178 - Amirali Madani, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Decision Space Scalability Analysis of Multi-Objective Particle Swarm Optimization Algorithms. 2179-2186 - Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto:
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. 2187-2194 - Amund Tenstad, Pauline C. Haddow:
DES-HyperNEAT: Towards Multiple Substrate Deep ANNs. 2195-2202 - Liang Zhao, Wei Fang:
An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures. 2203-2210 - Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum:
A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. 2211-2217 - Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Carlos Artemio Coello Coello:
Smart Multi-Objective Evolutionary GAN. 2218-2225 - Juan-Antonio Rodríguez-de-la-Cruz, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Evolution of Generative Adversarial Networks Using PSO for Synthesis of COVID-19 Chest X-ray Images. 2226-2233 - Ryan McBride, Herbert H. Tsang:
SIMARD-LinearFold: Long Sequence RNA Design with Simulated Annealing. 2234-2241 - Shadab Ahmad, Rajarshi Pal, Avatharam Ganivada:
Score Level Fusion of Multimodal Biometrics Using Genetic Algorithm. 2242-2250 - Patrick Echtenbruck, Michael Emmerich, Martina Echtenbruck, Boris Naujoks:
Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery. 2251-2258 - Matthew Witten, Owen Clancey:
The Effect of Mask Usage on Viral Immune Escape Times: An Evolutionary Strategies-Inspired Model. 2259-2264 - Jason Kuo, John W. Sheppard:
Tournament Topology Particle Swarm Optimization. 2265-2272 - Mohammad Majid al-Rifaie:
Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser. 2273-2280 - Koya Ihara, Shohei Kato:
A Novel Sampling Method with Lévy Flight for Distribution-Based Discrete Particle Swarm Optimization. 2281-2288 - Cody Dennis, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Predicting Particle Swarm Optimization Control Parameters From Fitness Landscape Characteristics. 2289-2298 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. 2299-2306 - Michael O'Neill, Anthony Brabazon:
An Exploration of Asocial and Social Learning in the Evolution of Variable-length Structures. 2307-2314 - Reem E. Mohamed, Saber M. Elsayed, Robert A. Hunjet, Hussein A. Abbass:
A Graph-based Approach for Shepherding Swarms with Limited Sensing Range. 2315-2322 - Stephen Chen, Shehnaz Islam, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass:
A Random Walk Analysis of Search in Metaheuristics. 2323-2330 - Antônio Augusto Chaves, Luiz Henrique Nogueira Lorena:
An Adaptive and Near Parameter-Free BRKGA Using Q-Learning Method. 2331-2338 - Sebastián Rodríguez-Zbinden, Elizabeth Montero, Carola Blazquez, Pablo Miranda:
A Multi-objective Iterated Local Search Approach to Solve the Insular Traveling Salesman Problem. 2339-2346 - Otto Menegasso Pires, Rafael de Santiago, Jerusa Marchi:
Two Stage Quantum Optimization for the School Timetabling Problem. 2347-2353 - Carlos Vieira, Adelson de Araújo, José E. Andrade, Leonardo C. T. Bezerra:
iSklearn: Automated Machine Learning with irace. 2354-2361 - Calvin Rodrigues da Costa, Mariá C. V. Nascimento:
Intelligent-Guided Adaptive Search For The Traveling Backpacker Problem. 2362-2369 - João L. Vilar-Dias, M. A. S. Galindo, Fernando B. Lima Neto:
Cultural Weight-Based Fish School Search: A Flexible Optimization Algorithm For Engineering. 2370-2376 - Paulo Roberto Farah, Thainá Mariani, Enrique A. da Roza, Rogério C. Silva, Silvia Regina Vergilio:
Unsupervised Learning For Refactoring Pattern Detection. 2377-2384 - Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena:
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent. 2385-2394 - Aurora Ramírez, Pedro Delgado-Pérez, Kevin J. Valle-Gómez, Inmaculada Medina-Bulo, José Raúl Romero:
Interactivity in the Generation of Test Cases with Evolutionary Computation. 2395-2402 - Miguel Benito-Parejo, Mercedes G. Merayo:
Using Genetic Algorithms To Select Test Cases For Finite State Machines With Timeouts. 2403-2410 - Alfredo Ibias, Pablo Vazquez-Gomis, Miguel Benito-Parejo:
Coverage-Based Grammar-Guided Genetic Programming Generation of Test Suites. 2411-2418 - Daniil Chivilikhin:
Temporal Specification Mining for IEC 61499 Function Blocks Using Evolutionary Algorithms and Model Checking. 2419-2426 - Hao Hao, Aimin Zhou, Hu Zhang:
An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. 2427-2434 - Yongkang Luo, Kening Zhang, Haipeng Yang, Feng Liu, Shuai Luo, Lei Zhang, Xiaoyan Sun:
A Reduced Mixed Representation Based Multi-Objective Evolutionary Algorithm for Large-Scale Overlapping Community Detection. 2435-2442 - Ian Showalter, Howard Schwartz, Sidney N. Givigi:
Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking. 2443-2450 - Sumit Mishra, Srinibas Swain, Sangita Sarmah, Carlos A. Coello Coello:
Hypervolume by Slicing Objective Algorithm: An Improved Version. 2451-2458 - Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
An Ensemble of Scalarizing Functions and Weight Vectors for Evolutionary Multi-Objective Optimization. 2459-2467 - Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He:
A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. 2468-2475 - Raphael de Lima Mendes, Alexandre Henrick da Silva Alves, Matheus de Souza Gomes, Pedro Luiz Lima Bertarini, Laurence Rodrigues do Amaral:
Many Layer Transfer Learning Genetic Algorithm (MLTLGA): a New Evolutionary Transfer Learning Approach Applied To Pneumonia Classification. 2476-2482 - Karl Mason, Santiago Grijalva:
Building HVAC Control via Neural Networks and Natural Evolution Strategies. 2483-2490 - Luc Frachon, Wei Pang, George M. Coghill:
An Immune-Inspired Approach to Macro-Level Neural Ensemble Search. 2491-2498 - Antin Phillips, Mathys C. du Plessis:
Adaptive Navigation Strategies in Evolutionary Robotics Controllers with Location Perception. 2499-2506 - Xuhao Eric Chen, Brian J. Ross:
Deep Neural Network Guided Evolution of L-System Trees. 2507-2514 - Divya D. Kulkarni, Shivashankar B. Nair:
An Immuno-Inspired Transfer Learning Paradigm. 2515-2522 - Naoya Ikushima, Keiko Ono, Yuya Maeda, Erina Makihara, Yoshiko Hanada:
Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. 2523-2530 - Mario García Valdez, Rene Márquez Valenzuela, Leonardo Trujillo, Juan Julián Merelo:
Random Selection of Parameters in Asynchronous Pool-Based Evolutionary Algorithms. 2531-2538 - Anton Bouter, Tanja Alderliesten, Peter A. N. Bosman:
GPU-Accelerated Parallel Gene-pool Optimal Mixing Applied to Multi-Objective Deformable Image Registration. 2539-2548 - Mohammad Bagherbeik, Ali Sheikholeslami:
Caching and Vectorization Schemes to Accelerate Local Search Algorithms for Assignment Problems. 2549-2558 - Fahad Maqbool, Muhammad Saad Razzaq, Asif Yar, Hajira Jabeen:
Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB). 2559-2566 - Rochan Avlur Venkat, Zakaria Oussalem, Arya Kumar Bhattacharya:
Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures. 2567-2576 - Mohamed A. Meselhi, Saber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam:
Parallel Evolutionary Algorithm for EEG Optimization Problems. 2577-2584
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