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遗传算法在预拌混凝土配送中的应用
引用本文:蔡焕芹,王丽亚,高薛文.遗传算法在预拌混凝土配送中的应用[J].上海交通大学学报,2007,41(8):1388-1392.
作者姓名:蔡焕芹  王丽亚  高薛文
作者单位:1. 上海交通大学,工业工程与管理系,上海,200240
2. 上海建工物资公司浦东分公司,上海,200125
摘    要:针对预拌混凝土(RMC)配送的特点,建立了双目标RMC配送优化模型,并采用自适应遗传算法对该模型进行求解.在进化过程中采用了小生境技术保持群体多样性,并结合自适应遗传算法优化进化参数.另外,采用帕累托边界法为双目标提供多个方案,以便决策者可根据实际情况进行最终选择.

关 键 词:预拌混凝土  车辆调度  遗传算法  帕累托边界
文章编号:1006-2467(2007)08-1388-05
修稿时间:2006-09-18

Optimizing the Scheduling of Dispatching Ready Mixed Concret Trucks Through Genetic Algorithm
CAI Huan-qin,WANG Li-ya,GAO Xue-wen.Optimizing the Scheduling of Dispatching Ready Mixed Concret Trucks Through Genetic Algorithm[J].Journal of Shanghai Jiaotong University,2007,41(8):1388-1392.
Authors:CAI Huan-qin  WANG Li-ya  GAO Xue-wen
Institution:1 Dept. of Industrial Eng. and Management, Shanghai Jiaotong Univ. , Shanghai 200240, China; 2. Shanghai Construction Group of Material Company, Shanghai 200125, China
Abstract:A double-objective optimization model was built for the scheduling of dispatching ready mixed concrete(RMC) trucks,and an adaptive genetic algorithm was proposed to solve this multi-objective problem.The niche is used in the genetic algorithm to ensure better population diversity.Pareto font is used to provide several optional schedules for dispatching RMC trucks from which the decision-makers can choose a most suitable one according to the certain situation.
Keywords:ready mixed concrete(RMC)  scheduling  genetic algorithm  Pareto font
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