期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：8
页码：357-370
出版社：SERSC
摘要：Focused on partly flexible job shop scheduling problems, a framework is proposed based on fuzzy immune GA schedulingmethod. Firstly, we develop a dispatching rule method to evaluate processing devices based onfuzzy weightaccording to multiple objectives. Based on the evaluation results, the devices areselected to reduce the redundantones. Thena fuzzy immune genetic algorithm is proposed to deal with the scheduling problems, in which the fuzzified maximum average satisfaction is used to evaluate the solution. To testour proposed method, it is applied to two real job scheduling problems. Experiment results show the effectiveness of our method.
关键词：JSSP; fuzzy weight; immune genetic algorithm; maximum satisfaction; ;dispatching rule
