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Hybrid resource allocation framework for large-scale multi-objective optimization
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DOI：10.1016/j.swevo.2025.102272.png)
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Abstract
En 中文
• A new resource allocation framework based on dual spaces information for LSMOPs is proposed. • A quantitative resource allocation model is proposed to improve the accuracy and adaptability of resource allocation. • An adaptive reference resource allocation scheme is proposed to improve the diversity of the subpopulations.
Keywords:
Large-scale multi-objective optimization
Resource allocation
Decision space
Objective space
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8.5
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2.2K
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