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Application of a Genetic Algorithm Based on the Immunity for Flow Shop under Uncertainty 被引量:1
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作者 WANG Luchao DENG Yongping 《武汉理工大学学报》 CAS CSCD 北大核心 2006年第S2期673-676,共4页
The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical expectation.And then,an immune based partheno-genetic algorithm ... The uncertain duration of each job in each machine in flow shop problem was regarded as an independent random variable and was described by mathematical expectation.And then,an immune based partheno-genetic algorithm was proposed by making use of concepts and principles introduced from immune system and genetic system in nature.In this method,processing se-quence of products could be expressed by the character encoding and each antibody represents a feasible schedule.Affinity was used to measure the matching degree between antibody and antigen.Then several antibodies producing operators,such as swopping,mov-ing,inverting,etc,were worked out.This algorithm was combined with evolution function of the genetic algorithm and density mechanism in organisms immune system.Promotion and inhibition of antibodies were realized by expected propagation ratio of an-tibodies,and in this way,premature convergence was improved.The simulation proved that this algorithm is effective. 展开更多
关键词 genetic algorithm based on the immunity flow shop character encoding ANTIBODY
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