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基于微粒群技术的多分拣区产品存储的算法设计

Optimization Algorithm Design of the Forward Reserve Problem for Multiple Forward Areas Based on Particle Swarm Techonology
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摘要 由于多分拣区产品存储优化决策是一类典型的NP难问题,求解较为困难,尤其当问题规模增大后,应用精确算法求解时间代价较高。考虑到微粒群技术在求解大规模组合优化问题的优势,本论文针对多分拣区产品存储优化设计了微粒群算法,并用算例验证了该算法的有效性。 Forward-reserve problem（FRP） in a multiple forward area can not easily be solved since it is a NP-hard problem. Especially, for a large sized problem it is very time-consuming to solve by using the exact algorithm. Since particle swarm optimization （PSO）shows great efficiency when solving a big scale optimization problem, the paper proposed PSO for FRP in multiple forward area and a numerical example showed the effectiveness of the proposed algorithm.
作者 陈彦如 杨璐 魏朝恒 曾东红
机构地区 西南交通大学经济与管理学院 西南交通大学交通运输与物流学院
出处 《交通运输工程与信息学报》 2015年第3期16-21,共6页 Journal of Transportation Engineering and Information
基金 四川省科技支撑计划项目(2012GZ0063) 中央高校基本科研业务费专项资金资助(2682013CX074)
关键词 多分拣区 产品存储优化 微粒群 Multiple forward areas forward-reserve problem particle swarm optimization
分类号 F253.4 [经济管理—国民经济]
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参考文献6

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共引文献421

交通运输工程与信息学报
2015年 第3期

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