Exploring a Promising Region and Enhancing Decision Space Diversity for Multimodal Multi-Objective Optimization
Author:
Affiliation:
1. School of Computer Science, China University of Geosciences,Wuhan,China,430074
Funder
National Natural Science Foundation of China
Publisher
Tsinghua University Press
Subject
Multidisciplinary
Link
http://xplorestaging.ieee.org/ielx7/5971803/10258149/10258255.pdf?arnumber=10258255
Reference45 articles.
1. A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies
2. Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]
3. Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces
4. Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm
5. A fast and elitist multiobjective genetic algorithm: NSGA-II
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