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A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization

23 June 2022

Papers citing "A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization"

31 / 31 papers shown

Title
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems E. Osaba Esther Villar-Rodriguez Javier Del Ser Antonio J. Nebro Daniel Molina A. Latorre Ponnuthurai Nagaratnam Suganthan Carlos A. Coello Coello Francisco Herrera 99 263 0 04 Oct 2024
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments Ke Li Renzhi Chen Xin Yao 67 17 0 05 Nov 2022
A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm Qiqi Liu Yuping Yan P. Ligeti Yaochu Jin FedML 74 16 0 15 Oct 2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment Zhichao Lu Ran Cheng Yaochu Jin Kay Chen Tan Kalyanmoy Deb 77 56 0 08 Aug 2022
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization Wei Liu Rui Wang Tao Zhang Kaiwen Li Wenhua Li H. Ishibuchi 62 26 0 21 Jun 2022
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future E. Osaba Javier Del Ser Ponnuthurai Nagaratnam Suganthan 70 15 0 29 Nov 2021
Self-Evolutionary Optimization for Pareto Front Learning Simyung Chang Kiyoon Yoo Jiho Jang Nojun Kwak 77 4 0 07 Oct 2021
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation Ke Li Renzhi Chen 54 28 0 12 Sep 2021
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 51 20 0 30 Aug 2021
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities Ke Li 54 9 0 21 Aug 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization Yongxin Zhang Jiahai Wang Zizhen Zhang Yalan Zhou 120 24 0 16 Jul 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 107 70 0 15 Jul 2021
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics Ye Tian Xing-yi Zhang Cheng He Kay Chen Tan Yaochu Jin 33 21 0 22 May 2021
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization Dejun Xu Min Jiang Weizhen Hu Shaozi Li Renhu Pan Gary G. Yen MU 23 34 0 24 Feb 2021
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization T. Deist Monika Grewal F. Dankers Tanja Alderliesten Peter A. N. Bosman 62 19 0 08 Feb 2021
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient Jianyong Sun Xin Liu Thomas Bäck Zongben Xu 82 87 0 06 Feb 2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions E. Osaba Aritz D. Martinez Javier Del Ser 45 59 0 04 Feb 2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks Zhenzhong Wang Haokai Hong Kai Ye Min Jiang Kay Chen Tan AI4CE 84 31 0 08 Jan 2021
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances M. Shakeri Erfan Miahi Abhishek Gupta Yew-Soon Ong 105 15 0 03 Dec 2020
A Review of Evolutionary Multi-modal Multi-objective Optimization Ryoji Tanabe H. Ishibuchi 36 151 0 28 Sep 2020
Benchmarking in Optimization: Best Practice and Open Issues Thomas Bartz-Beielstein Carola Doerr Daan van den Berg Jakob Bossek Sowmya Chandrasekaran ... B. Naujoks Patryk Orzechowski Vanessa Volz Markus Wagner T. Weise 110 112 0 07 Jul 2020
A Two stage Adaptive Knowledge Transfer Evolutionary Multi-tasking Based on Population Distribution for Multi/Many-Objective Optimization Zhengping Liang Weiqi Liang Xiaoliang Ma Ling Liu Zexuan Zhu 47 52 0 03 Jan 2020
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs) Cheng He Shihua Huang Ran Cheng Kay Chen Tan Yaochu Jin GAN 43 124 0 11 Oct 2019
Deep Reinforcement Learning for Multi-objective Optimization Kaiwen Li Tao Zhang Rui Wang AI4CE 63 272 0 06 Jun 2019
A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning Hongwei Ge Mingde Zhao Liang Sun Zhen Wang Guozhen Tan Qiang Zhang C. L. Philip Chen 38 62 0 03 Mar 2018
Evolutionary Generative Adversarial Networks Chaoyue Wang Chang Xu Xin Yao Dacheng Tao GAN 157 284 0 01 Mar 2018
Improved Regularity Model-based EDA for Many-objective Optimization Yizhou Sun Gary G. Yen Zhang Yi 44 38 0 24 Feb 2018
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization Jinyuan Zhang Aimin Zhou K. Tang Guixu Zhang 42 36 0 03 Aug 2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 46 760 0 17 May 2017
Transfer Learning based Dynamic Multiobjective Optimization Algorithms Min Jiang Zhongqiang Huang L. Qiu Wenzhen Huang Gary G. Yen 61 281 0 19 Dec 2016
Scaling Up Estimation of Distribution Algorithms For Continuous Optimization Weishan Dong Tianshi Chen Peter Tiño Xin Yao 78 107 0 09 Nov 2011