蚁群优化算法在电镀试验台作业调度的应用  

The Application of Ant Colony Optimization Algorithm to Job Scheduling Probrem in Electroplate Test Platform

作　　者：徐克奇[1] 

机构地区：[1]上海应用技术学院计算机系,上海200235

出　　处：《微电子学与计算机》2008年第12期210-212,共3页Microelectronics & Computer

基　　金：上海市教育委员会科研项目(060Z023)

摘　　要：针对电镀试验台作业调度问题的特点,提出了一种混合优化的蚁群算法,即在蚂蚁寻优中,引入杂交和变异机制,有效地解决了电镀试验台作业调度问题.实验结果表明,与一般的蚁群算法相比,该算法性能更优.Airnming at the characteristics of job scheduling probrem in electroplate test platform, this paper a hybrid optimization algorithm is proposed, that is bring in crossover and mutation operation. Using this algorithm, job scheduling probrem in electroplate test is effectively solved. The experiment results show that the proposed method has better performance, compareing with the ant colony algorithm.

关 键 词：蚁群算法 电镀 作业调度 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]