基于前景理论的生活垃圾上门收运车辆路线中断管理研究

Junbo Fu, Shuanglu Zhang, Huimin Ma
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引用次数: 1

摘要

以不确定的生活垃圾上门收集和运输为背景,研究了因紧急顺序引起的干扰问题。结合行为科学对人类行为感知的研究方法和运筹学中的定量研究方法,提出了基于前景理论的干扰测量方法,并建立了干扰恢复模型。针对这一问题,设计了一种改进的基于自适应视图的人工鱼群算法。与自适应遗传算法相比,人工鱼群算法的收敛速度和收敛精度更强。通过仿真实验,验证了模型和算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Disruption Management of Domestic Waste Door-to-door Collection and Transportation Vehicle Routing Problem Based on Prospect Theory
With uncertain amount of domestic waste door-todoor collection and transportation as the background, the problem of disturbance due to urgent order is studied. Combining the research methods of behavioral science to human behavior perception and quantitative research methods in operational research, disturbance measurement based on prospect theory is provided, and disruption recovery model is built. One improved artificial fish-swarm algorithm based on adaptive view is designed to solve this problem. Compared with adaptive genetic algorithm, the convergence speed and convergence accuracy of the artificial fish-swarm algorithm are more capable. Moreover, through simulation experiment, the effectiveness of model and algorithm is verified.
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