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基于模拟退火遗传混合算法的物流中心选址问题研究
引用本文:张雪东,季一木.基于模拟退火遗传混合算法的物流中心选址问题研究[J].电脑开发与应用,2006,19(6):4-6.
作者姓名:张雪东  季一木
作者单位:1. 安徽财经大学,蚌埠,233041
2. 南京邮电大学,南京,230001
基金项目:安徽省高校青年教师科研项目
摘    要:为了增快货物流动速度、方便客户并减少不必要的配送成本,结合模拟退火算法和遣传算法,研究了物流配送中心选址问题,模拟退火遗传算法在收敛速度及跳出局部极值的能力诸方面明显优于标准的遗传算法和模拟退火算法。

关 键 词:模拟退火算法  遗传算法  物流中心选址
文章编号:1003-5850(2006)06-0004-03
收稿时间:2006-01-09
修稿时间:2006-04-22

Research on Logistic Center Location Problem based on Simulated Annealing and Genetic Algorithm
Zhang XueDong;Ji YiMu.Research on Logistic Center Location Problem based on Simulated Annealing and Genetic Algorithm[J].Computer Development & Applications,2006,19(6):4-6.
Authors:Zhang XueDong;Ji YiMu
Abstract:In order to speeding up goods flow and customer convenience and decreasing unnecessary logistic cost, this paper researches the logistic center location problem on the basis of combination of simulated annealing algorithm and genetic algorithm, and the simulated annealing and genetic algorithm is better than the standard genetic algorithm and simulate anneal algorithm in the speed of convergence and the ability of jumping out of local critical value.
Keywords:simulated annealing algorithm  genetic algorithm  logistic center location
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