Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization
Authors
Keywords
-
Journal
IEEE Transactions on Emerging Topics in Computational Intelligence
Volume 7, Issue 4, Pages 1051-1064
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-02-12
DOI
10.1109/tetci.2022.3146882
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient
- (2021) Jianyong Sun et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks
- (2021) Shangshang Yang et al. IEEE Transactions on Neural Networks and Learning Systems
- Leader Recommend Operators Selection Strategy for A Multiobjective Evolutionary Algorithm Based on Decomposition
- (2020) Zeyuan Yan et al. INFORMATION SCIENCES
- Decomposition-Based Multiobjective Optimization with Bicriteria Assisted Adaptive Operator Selection
- (2020) Wu Lin et al. Swarm and Evolutionary Computation
- A reinforcement learning approach for dynamic multi-objective optimization
- (2020) Fei Zou et al. INFORMATION SCIENCES
- Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
- (2020) Cheng He et al. IEEE Transactions on Cybernetics
- Deep Reinforcement Learning for Multiobjective Optimization
- (2020) Kaiwen Li et al. IEEE Transactions on Cybernetics
- AdaBoost-inspired multi-operator ensemble strategy for multi-objective evolutionary algorithms
- (2019) Chao Wang et al. NEUROCOMPUTING
- Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer
- (2019) Ye Tian et al. IEEE Transactions on Cybernetics
- A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
- (2018) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Automated Algorithm Selection: Survey and Perspectives
- (2018) Pascal Kerschke et al. EVOLUTIONARY COMPUTATION
- A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME
- (2018) Alejandro Santiago et al. INFORMATION SCIENCES
- PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]
- (2017) Ye Tian et al. IEEE Computational Intelligence Magazine
- A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection
- (2017) Nozomi Hitomi et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
- (2016) Miqing Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A Self-Organizing Multiobjective Evolutionary Algorithm
- (2016) Hu Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm
- (2016) Qiuzhen Lin et al. INFORMATION SCIENCES
- A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
- (2015) Ran Cheng et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- AutoFolio: An Automatically Configured Algorithm Selector
- (2015) Marius Lindauer et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems
- (2013) Hai-Lin Liu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition
- (2013) Ke Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective evolutionary algorithms: A survey of the state of the art
- (2011) Aimin Zhou et al. Swarm and Evolutionary Computation
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- JADE: Adaptive Differential Evolution With Optional External Archive
- (2009) Jingqiao Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- (2008) A.K. Qin et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started