Regularity model-driven large-scale multi-objective evolutionary algorithm based on dual-information offspring reproduction strategy

doi:10.1016/j.eswa.2025.129460

Regularity model-driven large-scale multi-objective evolutionary algorithm based on dual-information offspring reproduction strategy

2025-09-10

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DOI：10.1016/j.eswa.2025.129460

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• Dual-information strategy combines population distribution and individual direction. • Augmented model captures low-dimensional PS structure efficiently. • Addresses high cost and structural modeling challenges in LSMOPs. • Competitive learning updates losing solutions with positive directions. • Outperforms eight state-of-the-art algorithms on large-scale benchmarks.

Regularity model-driven large-scale multi-objective evolutionary algorithm based on dual-information offspring reproduction strategy

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