A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems
This paper proposes a self-organized speciation based multi-objective particle swarm optimizer (SS-MOPSO) to locate multiple Pareto optimal solutions for solving multimodal multi-objective problems. In the proposed method, the speciation strategy is used to form stable niches and these niches/subpop...
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Published in | Applied soft computing Vol. 86; p. 105886 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2020
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Subjects | |
Online Access | Get full text |
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