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A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism
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DOI：10.1016/j.eswa.2025.129304.png)
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Abstract
En 中文
• Biased sampling using predicted similarity across multiple environments. • Improved prediction method applied as an initialization and search strategy. • Strategy to reuse evaluation budget from environmental detection. • Dual-population static optimizer for dynamic constrained multi-objective problems.
Keywords:
biased sampling
similarity prediction
evaluation budget reuse
dual-population optimizer
dynamic constrained multi-objective optimization
Journal
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7.5
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