A Multi-Objective Optimization Strategy for Warehouse Location Allocation Integrating NSGA-Ⅱ and IPSO Algorithm
Optimizing warehouse location allocation directly affects warehousing efficiency and reduces logistics costs.This study proposes a multi-objective optimization strategy that combines NSGA-Ⅱ with IPSO.A multi-objective optimization model that comprehensively considers the efficiency of cargo load and unload space utilization was constructed by analyzing the complexity of location allocation in depth.The PSO algorithm was improved by dynamically adjusting the velocity up-date strategy of particles,significantly enhancing the global search efficiency of the algorithm.Integrating the IPSO algo-rithm with the NSGA-Ⅱ algorithm effectively enhanced the diversity and quality of solutions.After comparative analysis,the proposed strategy has significant advantages in improving warehousing efficiency and space utilization.
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