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An adaptive immune genetic algorithm and its application
Shi G(石刚); Ma J(马佳); Jing YW(井元伟)
作者部门工业信息学研究室
会议名称2009 3rd International Conference on Teaching and Computational Science, WTCS 2009
会议日期December 19-20, 2009
会议地点Shenzhen, China
会议录名称Advances in Intelligent and Soft Computing
出版者SPRINGER-VERLAG
出版地BERLIN
2009
页码373-380
收录类别EI ; CPCI(ISTP)
EI收录号20122115051000
WOS记录号WOS:000310856800048
产权排序1
ISSN号1867-5662
ISBN号978-3-642-11276-8
关键词Flexible Job-shop Scheduling Problem Immune Genetic Algorithm Immune Operator Adaptive Strategyvaccine
摘要To avoid premature and guarantee the diversity of the population, an adaptive immune genetic algorithm(AIGA) is proposed to solve these problems. In this method, the AIGA flow structure is presented via combining the immune regulating mechanism and the genetic algorithm. Experimental results showed that the proposed AIGA can rise above efficiently such difficulties of SGA as precocious convergence and poor local search ability and provide well the global converging ability to enhance both global convergency and convergence rate, thus solving effectively the flexible job-shop scheduling problem (FJSP). © 2012 Springer-Verlag Berlin Heidelberg.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/8318
专题工业信息学研究室
通讯作者Shi G(石刚)
作者单位1.School of Information Science and Engineering, Northeastern University, Shenyang, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Shi G,Ma J,Jing YW. An adaptive immune genetic algorithm and its application[C]. BERLIN:SPRINGER-VERLAG,2009:373-380.
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