An Adaptive Immune Genetic Algorithm and Its Application

被引：0
|
作者：
Shi, Gang [1 ,2 ]
Ma, Jia [2 ]
Jing, Yuanwei [2 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 100864, Peoples R China
来源：
ADVANCED TECHNOLOGY IN TEACHING - PROCEEDINGS OF THE 2009 3RD INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE (WTCS 2009), VOL 1: INTELLIGENT UBIQUITIOUS COMPUTING AND EDUCATION | 2012年 / 116卷
关键词：
flexible job-shop scheduling problem; immune genetic algorithm; immune operator; adaptive strategy vaccine;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 ALGA flow structure is presented via combining the immune regulating mechanism and the genetic algorithm. Experimental results showed that the proposed ALGA 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).
引用
收藏
页码：373 / +
页数：2
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