Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems
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.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2019
- DOI:
- 10.48550/arXiv.1906.00402
- arXiv:
- arXiv:1906.00402
- Bibcode:
- 2019arXiv190600402F
- Keywords:
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- Computer Science - Neural and Evolutionary Computing