An Adaptive Immune Genetic Algorithm and Its Application for FJSP

摘要：

This paper presents a kind of adaptive immune genetic algorithm(AIGA) to deal with flexible job-shop scheduling problem.This algorithm adopts the immune operator and adaptive regulation strategy to improve greatly the diversity of antibodies population.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 FJSP problem,the diversity of antibodies population.

关键词： flexible job-shop scheduling problem immune genetic algorithm adaptive strategyvaccine

作者: Jia Ma Yunlong Zhu Jia Ma Gang Shi

作者单位: School of Economic and Management Shenyang Aerospace University Shenyang,china Shenyang Institute of Automation Chinese Academy of Sciences Shenyang,China School of Information Science and Engineering Northeastern University Shenyang,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 177-180

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）