基于遗传算法的物流中心选址模型及算法研究-应用数学专业论文.docx

重庆大学硕士学位论文中文摘要 重庆大学硕士学位论文 中文摘要 摘 要 本文首先介绍了物流和物流中心的概念 比较了配送中心 物流中心 物流 园区的具体细分和特征 分析了在现代物流观点下 第三方物流 供应链管理 电子商务的发展对物流中心功能设计及选址的影响 探讨了选址决策应掌握的基 本原则 特别介绍了物流中心选址方法中较少涉及的随机期望值选址模型和体现 定性和定量结合数学思想的模糊综合评判选址模型 其次在前人工作的基础上 建立了基于竞争的物流中心选址双层规划模型 考虑的因素更全面 设计了模型求解的遗传算法 并和 Monte Carlo 模拟退火算法 进行了比较 与其他方法相比 此算法实现简单 并且有较快的运算速度 较启 发式算法更易推广 是解决此类问题的通用方法 在物流中心的规划中 由于动态管理的需要和追求效益最大化 对已运营的 物流中心进行成本和效益分析 评价的结果可能要关闭或扩建某些物流中心 利 用 DEA 模型思想 建立了在 DEA 评价下的物流中心再选址模型 并用本文引入 的遗传算法对算例进行了求解 得到的结果令人满意 体现了成本和效益指标在 物流管理的重要性及对物流中心选址设计的作用 关键词 物流中心 选址 双层规划 遗传算法 DEA I 重庆大学硕士学位论文英文摘要 重庆大学硕士学位论文 英文摘要 II II ABSTRACT The notion of logistics and logistics centers are introduced first in this paper, then the difference of distribution centers, logistics centers and logistics zone are compared. The effect on logistics centers function design and location is analysed, by the view of modern logistics such as third-party logistics ,supply-chain management and e-commerce. The fundamental principles of location decision is discussed. Random expected values model is recommended ,which is a special location model, simultaneously the fuzzy comprehensive judgment model is also introduced. The improved logistics centers location bi- level programming model based on competition is constructed. In consideration of the need to solve the model a solution algorithm based on genetic algorithms is proposed , compared with Monte Carlo simulated annealing algorithm, it works fast and easy to generalize contrast to heuristic algorithm, so it’ s a general algorithm to solve this kind of problem. To design logistics centers ,for the purpose of dynamic management and benefit maximum, it needs to analysis cost and benefit of operated logistics centers .The appreciative results probably require to close or expand certain logistics centers. By using DEA model ,In this paper the writer presents the efficiency assessment of logistics centers and establishes a logistics centers location model based on the DEA . Finally , the availability