Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
Published in arXiv (Cornell University) • Nov 21, 2017
NobleIDNI9P38W65R99S73
Authors:,,
Ke Li
Renzhi Chen
Guangtao Fu
Abstract
When solving constrained multi-objective optimization problems, an important issue is how to balance convergence, diversity and feasibility simultaneously. To address this issue, this paper proposes a parameter-free constraint handling technique, two-archive evolutionary algorithm, for constrained m...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!