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Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems (1906.00402v1)
Published 2 Jun 2019 in cs.NE
Abstract: In dealing with constrained multi-objective optimization problems (CMOPs), a key issue of multi-objective evolutionary algorithms (MOEAs) is to balance the convergence and diversity of working populations.
- Zhun Fan (29 papers)
- Zhaojun Wang (53 papers)
- Wenji Li (17 papers)
- Yutong Yuan (2 papers)
- Yugen You (3 papers)
- Zhi Yang (188 papers)
- Fuzan Sun (2 papers)
- Jie Ruan (13 papers)
- Zhaocheng Li (4 papers)