An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation
The performance of evolutionary algorithms using reference vectors to guide the evolution process mainly depends on the adaptive reference vector update strategy. In order to solve the challenging many-objective optimization problems with irregular Pareto fronts, this paper proposes an adaptive refe...
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| Published in: | Swarm and evolutionary computation Vol. 88; p. 101601 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.07.2024
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| Subjects: | |
| ISSN: | 2210-6502 |
| Online Access: | Get full text |
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