An adaptive immune genetic algorithm and its application

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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)
	2009
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
关键词	flexible job-shop scheduling problem immune genetic algorithm immune operator adaptive strategyvaccine
页码	373-380
通讯作者	石刚
中文摘要	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.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Advances in Intelligent and Soft Computing
会议录出版者	SPRINGER-VERLAG
会议录出版地	BERLIN
语种	英语
ISSN号	1867-5662
ISBN号	978-3-642-11276-8
WOS记录号	WOS:000310856800048
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/8318]
专题	沈阳自动化研究所_工业信息学研究室
推荐引用方式 GB/T 7714	Shi G,Ma J,Jing YW. An adaptive immune genetic algorithm and its application[C]. 见:2009 3rd International Conference on Teaching and Computational Science, WTCS 2009. Shenzhen, China. December 19-20, 2009.