DocumentCode
2871225
Title
The immune genetic algorithm and its convergence
Author
Wang, Lei ; Jiao, Licheng
Author_Institution
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1347
Abstract
A new genetic algorithm based on the concept of immunity in biology is proposed for improving oscillation phenomena during the typical behaviour of a genetic algorithm in local optimization. Its convergence is studied and proved in this paper, and good effects are achieved when it is used for the travelling salesman problem (TSP)
Keywords
convergence of numerical methods; genetic algorithms; travelling salesman problems; convergence; immune genetic algorithm; local optimization; oscillation phenomena; travelling salesman problem; Appraisal; Convergence; Flowcharts; Genetic algorithms; Genetic mutations; Humans; Immune system; Radar; Senior members; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770869
Filename
770869
Link To Document