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基于多目标和声搜索算法的城市单向交通组织优化研究
引用本文:董洁霜,王伟智,刘魏巍. 基于多目标和声搜索算法的城市单向交通组织优化研究[J]. 上海理工大学学报, 2014, 36(2): 141-146
作者姓名:董洁霜  王伟智  刘魏巍
作者单位:上海理工大学 管理学院, 上海 200093;上海理工大学 管理学院, 上海 200093;上海理工大学 管理学院, 上海 200093
摘    要:当道路空间占用导致交通拥堵阻断现象发生时,为保障机动车出行通畅,采取单向交通组织优化方法,以路径正反双向途径点数量最小为最优目标,应用多目标和声搜索算法求解双目标模型,进行算例检验和实际应用的性能对比分析,分析结果表明,该方法求得的平衡策略更合理,与当前的一般算法相比,具有明显的优越性.

关 键 词:城市交通  多目标优化  和声搜索算法  单向交通优化  蒙特卡罗模拟  Pareto前沿
收稿时间:2013-06-09

Urban One-way Traffic Optimization Based on Multi-objective Harmony Search Approach
DONG Jie-shuang,WANG Wei-zhi and LIU Wei-wei. Urban One-way Traffic Optimization Based on Multi-objective Harmony Search Approach[J]. Journal of University of Shanghai For Science and Technology, 2014, 36(2): 141-146
Authors:DONG Jie-shuang  WANG Wei-zhi  LIU Wei-wei
Affiliation:Business School, University of Shanghai for Scientific and Technology, Shanghai 200093, China;Business School, University of Shanghai for Scientific and Technology, Shanghai 200093, China;Business School, University of Shanghai for Scientific and Technology, Shanghai 200093, China
Abstract:When the road space is taken up to lead traffic jam, the one-way traffic organization method is usually adopted to guarantee a flexible residents' travel.In order to optimizing routes(direct and inverse routes),in the method,a multi-objective harmony search algorithm was used to deal with double target function.Its effectiveness was tested by variable synthetic diffsets and real cases.The analysis indicates the harmony search algorithm can generate more resonable solutions of balancing functions and the method has much more significant advantages compared with the current general algorithms.
Keywords:urban traffic  multi-objective optimization  harmony search heuristic  one-way optimization  Monte Carlo simulation  Pareto front
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