A Two-phase Constrained Multi-Objective Evolutionary Algorithm Based on the Constrained Decomposition Approach
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,Nanjing,China
2. Shantou University,Guangdong,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754526/9754527/09754609.pdf?arnumber=9754609
Reference18 articles.
1. A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization
2. Constrained Test Problems for Multi-objective Evolutionary Optimization
3. An improved epsilon constraint-handling method in moea/d for cmops with large infeasible regions;fan;arXiv preprint arXiv 1707 08385,2017
4. A constrained multi-objective evolutionary algorithm based on boundary search and archive;liu;International Journal of Pattern Recognition & Artificial Intelligence,2012
5. Infeasibility Driven Evolutionary Algorithm for Constrained Optimization
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