Paper Info
Title
Adaptive immune algorithm for solving job-shop scheduling problem
Abstract
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.
Year
DOI
Venue
2005
10.1007/11539117_111
ICNC (2)
Keywords
Field
DocType
immune algorithm problem,job-shop scheduling,effective approach,optimal solution,immune system,information processing mechanism,biotic science,cultivation period,immune response,job-shop scheduling problem,adaptive immune algorithm,new approach,job shop scheduling,information processing,adaptive immunity
Artificial immune system,Mathematical optimization,Information processing,Computer science,Scheduling (computing),Job shop scheduling problem,Job shop,Algorithm,Immune system,Adaptive algorithm,Distributed computing
Conference
Volume
ISSN
ISBN
3611
0302-9743
3-540-28325-0
Citations 
PageRank 
References 
3
0.49
0
Authors
3
Name
Order
Citations
PageRank
Xinli Xu17910.92
Wan-Liang Wang223539.16
Qiu Guan3439.92