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题名: An Adaptive Immune Genetic Algorithm and Its Application
作者: 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: 2010 Third International Symposium on Intelligent Ubiquitous Computing and Education
会议日期: September 18-19, 2010
会议地点: Beijing, China
会议主办者: IEEE
会议录: 2010 Third International Symposium on Intelligent Ubiquitous Computing and Education
会议录出版者: IEEE
会议录出版地: Piscataway, NJ
出版日期: 2010
页码: 186-189
ISBN号: 978-1-4244-7440-0
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).
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8320
Appears in Collections:工业信息学研究室_会议论文

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Recommended Citation:
石刚; 马佳; 井元伟 .An Adaptive Immune Genetic Algorithm and Its Application.见:IEEE .2010 Third International Symposium on Intelligent Ubiquitous Computing and Education,Piscataway, NJ ,2010,186-189
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