Flexibility evaluation-based genetic algorithm for multi-layer fuzzy supply-demand network optimization

Qing Zhang

doi:10.1016/j.cie.2025.111546

Flexibility evaluation-based genetic algorithm for multi-layer fuzzy supply-demand network optimization

2025-09-24

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DOI：10.1016/j.cie.2025.111546

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• Flexibility indicators evaluate multi-layer supply–demand networks under uncertainty. • Demand uncertainty is modeled by distributing TFN membership functions. • GA-based optimization balances cost and flexibility via adaptive weighting. • Method improves optimization efficiency and adapts well to uncertainty across scales.

Flexibility evaluation-based genetic algorithm for multi-layer fuzzy supply-demand network optimization

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