Scholarlink

The rapid development of the logistics industry makes companies re-plan and design their warehouses as most existing warehouses do not meet present needs and have high storage costs and low operating efficiency. To improve the level of warehouse management, warehouse access efficiency, shelf stability, and cargo relevance, we established a mathematical model for hierarchical analysis using a genetic algorithm. With the multi-objective function genetic algorithm, the efficiency of the warehouse was improved to enhance the stability of the shelves and the relevance of the goods.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimization of Cargo Space in Warehouse of Based on Multi-objective Genetic Algorithm

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Lei Zhou,
  • Leyang Zhou

摘要

The rapid development of the logistics industry makes companies re-plan and design their warehouses as most existing warehouses do not meet present needs and have high storage costs and low operating efficiency. To improve the level of warehouse management, warehouse access efficiency, shelf stability, and cargo relevance, we established a mathematical model for hierarchical analysis using a genetic algorithm. With the multi-objective function genetic algorithm, the efficiency of the warehouse was improved to enhance the stability of the shelves and the relevance of the goods.