Adaptive immune algorithm for solving job-shop scheduling problem

被引：0
|
作者：
Xu, XL [1 ]
Wang, WL [1 ]
Guan, Q [1 ]
机构：
[1] Zhejiang Univ Technol, Informat Engn Inst, Hangzhou 310014, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS | 2005年 / 3611卷
关键词：
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：
Based on the information processing mechanism of immune system in biotic science, the process of the vaccination was analyzed. Then a new approach of immune algorithm problems for job-shop scheduling was proposed. This method can make self-adjustment of the immune responses along with the cultivation period of antibodies, and accelerate or suppress the generation of antibodies. Furthermore, it can gradually enhance recovery ability of the system, and find the optimal solution with more efficiency. Simulation results show that it is an effective approach.
引用
收藏
页码：795 / 799
页数：5
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