Hybrid resource allocation framework for large-scale multi-objective optimization

doi:10.1016/j.swevo.2025.102272

Hybrid resource allocation framework for large-scale multi-objective optimization

2025-12-31

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DOI：10.1016/j.swevo.2025.102272

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Abstract

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• 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

Hybrid resource allocation framework for large-scale multi-objective optimization

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