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。
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.
出处
《电脑开发与应用》
2006年第6期4-6,共3页
Computer Development & Applications
基金
安徽省高等学校青年教师科研资助项目(编号:2005jq1062)。
关键词
模拟退火算法
遗传算法
物流中心选址
simulated annealing algorithm, genetic algorithm, logistic center location
