摘要
遗传算法提供了一种求解复杂系统优化问题的通用框架。它不依赖于求解问题的具体领域,对问题的种类有很强的鲁棒性,因而也适用于生产调度。根据作者参与加气母站气源调度中所遇到的问题,采用改进的遗传算法,能够有效解决调度中存在的难题,尽可能的缩短调度时间,使资源消耗最少,从而提高作业效率,具有一定的应用价值。
Genetic Algorithm provides a solution of the optimization problems of complex systems framework.It does not depend on the problems in specific areas,the species of which has very strong robustness,so it is applicable to production scheduling.Through the problems of parent fuelling station gas source scheduling encountered,the improved Genetic Algorithm,can effectively solve the gas source scheduling problems,as much as possible to shorten the tank filling time and consume resources at least,so as to improve the operating efficiency,having a certain value.
出处
《微计算机信息》
2012年第9期224-225,195,共3页
Control & Automation
关键词
遗传算法
加气母站
气源调度
Genetic Algorithm
parent fuelling station
gas source scheduling
