⚡ electrical engineering
Adaptive Dynamic Site Selection for Emergency Logistics Using SSA-MOPSO with a Multi-Period Multi-Objective Optimization Framework
This paper proposes a self-adaptive dynamic site selection framework for emergency logistics that integrates a multi-period multi-objective optimization model with an enhanced SSA-MOPSO algorithm and an improved EWM-CRITIC method to minimize costs and distances while maximizing satisfaction and prioritizing facility activation.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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