胡桂红. 基于累积前景理论的第四方物流路径优化模型及其求解算法[J]. 电子科技大学学报社科版, 2019, 21(2): 107-112. DOI: 10.14071/j.1008-8105(2017)-0031
引用本文: 胡桂红. 基于累积前景理论的第四方物流路径优化模型及其求解算法[J]. 电子科技大学学报社科版, 2019, 21(2): 107-112. DOI: 10.14071/j.1008-8105(2017)-0031
HU Gui-hong. Model and Algorithm for Fourth Party Logistics Routing Optimization Problem Based on Cumulative Prospect Theory[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2019, 21(2): 107-112. DOI: 10.14071/j.1008-8105(2017)-0031
Citation: HU Gui-hong. Model and Algorithm for Fourth Party Logistics Routing Optimization Problem Based on Cumulative Prospect Theory[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2019, 21(2): 107-112. DOI: 10.14071/j.1008-8105(2017)-0031

基于累积前景理论的第四方物流路径优化模型及其求解算法

Model and Algorithm for Fourth Party Logistics Routing Optimization Problem Based on Cumulative Prospect Theory

  • 摘要: 考虑客户风险偏好对第四方物流路径优化的影响,将客户的行为因素引入到决策中,提出一种基于累积前景理论的第四方物流路径优化模型。用累积前景理论的前景价值作为客户的期望效用和最优目标,以此来构建改进蚁群算法的评价函数,用基于混合行为的蚁群算法求解出客户满意的最佳物流路径方案。并与效用最大化模型和前景理论模型进行了对比分析,通过仿真和实验数据说明该方法得到的路径方案客户满意度高,从而证明该模型及求解算法的有效性和可行性。

     

    Abstract: Considering the effect of customer risk preference on fourth party logistics routing optimization (4PLRP), the customers’ behavioral factors are introduced into decision making, and a method based on the cumulative prospect theory to solve the 4PL routing optimization is proposed. The method uses the prospect value of cumulative prospect theory as the customers’ utility function and the optimal objective to formulate the evaluation function of the improved ant colony algorithm, and the hybrid behavior based ant colony algorithm (HBACA) is used to solve the optimal logistics route. Analysis is made through comparing models based on expected utility maximization and prospect theory. Simulation and experimental data indicate that this method obtains high customer satisfaction, so the model and algorithm are proved to be effective and feasible.

     

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