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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.

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Authors (9)
  1. Zhun Fan (29 papers)
  2. Zhaojun Wang (53 papers)
  3. Wenji Li (17 papers)
  4. Yutong Yuan (2 papers)
  5. Yugen You (3 papers)
  6. Zhi Yang (188 papers)
  7. Fuzan Sun (2 papers)
  8. Jie Ruan (13 papers)
  9. Zhaocheng Li (4 papers)
Citations (53)
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