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A dynamic utopia point updating strategy for multi-objective optimization

delete2025-05-04
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PRE
AI
Y
Y. Niu
X
Xiaojian Li
DOI:10.1016/j.isatra.2025.04.030delete
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Abstract

Abstract

En 中文
• A novel multi-objective optimization algorithm is developed. • The dynamic utopia point reduces the risk of local optimum. • The utopia optimization reduces the computational burden. • Chaotic map is adopted to initialize the particle swarm. • The adaptive inertia weight are adopted to improve the PSO.

Journal

ISA Transactions cover
ISA Transactions
IF:
6.5
Papers:
5.9K
Citations:
2.0W

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