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基于协同免疫克隆算法的中间储罐时间有限的模糊不确定Flow Shop调度问题

发表时间:2012-04-30  浏览量:1077  下载量:344
全部作者: 顾幸生,靳费慧
作者单位: 华东理工大学自动化研究所
摘 要: 针对中间储罐时间有限的模糊不确定Flow Shop调度问题,将克隆选择机制和免疫系统原理结合起来,引入突变概率自适应变化和协同进化思想,提出一种新的解决此类调度问题的改进协同免疫克隆算法。仿真结果表明:该算法收敛速度明显优于免疫算法和免疫克隆算法,验证了该算法的有效性和优越性。
关 键 词: 管理信息系统生产调度;克隆选择;免疫算法;协同进化;不确定;模糊
Title: Research on fuzzy uncertain Flow Shop scheduling problem with finite intermediate storage time based on co-evolutionary immune clone algorithm
Author: GU Xingsheng, JIN Feihui
Organization: Research Institute of Automation, East China University of Science and Technology
Abstract: This paper develops a co-evolutionary immune clone algorithm for the fuzzy uncertain flow shop scheduling problem with finite intermediate storage tank time. The clonal selection mechanism and immune system are combined together. A new idea of adaptive mutation probability and co-evolutionary is presented. Simulation results show that the speed of convergence of the algorithm is superior to immune algorithm and immune clone algorithm.
Key words: flow shop scheduling; clonal selection; immune system; co-evolutionary; uncertain; fuzzy
发表期数: 2012年4月第8期
引用格式: 顾幸生,靳费慧. 基于协同免疫克隆算法的中间储罐时间有限的模糊不确定Flow Shop调度问题[J]. 中国科技论文在线精品论文,2012,5(8):784-793.
 
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