| 基于HGA空间物资存储任务规划方法 |
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| 引用本文： | 吴跃明.基于HGA空间物资存储任务规划方法[J].数学理论与应用,2009(2):99-103. |
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| 作者姓名： | 吴跃明 |
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| 作者单位： | 湖南长沙航空职业技术学院,湖南长沙410124 |
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| 摘 要： | 针对物流领域物资存储任务规划问题进行研究。本文通过遗传算法（GA）结合启发式规则的思想，得到了在物资存储方面实用性较强的混合遗传算法（HGA）。该算法具备GA的优越性，并基于启发式规则对染色体信息及其组合进行优化和限定，依靠遗传算法的精英保留策略，避免了传统遗传算法常见的早熟收敛。仿真结果表明，该算法所得到的规划方法将不断逼近最优解，这就为三维空间物资存储任务规划提供合理方案，能显著提高效率。
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| 关 键 词： | 物资存储 混合遗传算法 精英保留 |
Layout of Material Storage in Space Based on HGA |
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| Wu Yueming.Layout of Material Storage in Space Based on HGA[J].Mathematical Theory and Applications,2009(2):99-103. |
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| Authors: | Wu Yueming |
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| Institution: | Changsha Aeronautical Vocational and Technical College;Changsha;410124 |
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| Abstract: | In view of logistics area,the layout of material storage is researched.Combining the heuristic rule and genetic algorithm(GA),the resultful hybrid genetic algorithm(HGA) using in material storage was proposed.Based on the heuristic rule,HGA retains the advantages of GA,optimizes and restricts the coded information and the combination of the chromosomes.Depending on the elite conserve strategy in GA,GA's defect in local searching was improved.From the experimental result,the method based on this algorithm ap... |
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| Keywords: | Material storage Hybrid genetic algorithm Elite conserve |
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