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A dynamic utopia point updating strategy for multi-objective optimization
DOI:10.1016/j.isatra.2025.04.030.png)
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.
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6.5
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5.9K
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2.0W
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