DocumentCode
525255
Title
An improved immune algorithm and its convergence analysis
Author
Liu, Zhandong ; Dai, Yugang
Author_Institution
China Minorities Inf. Technol. Inst., Northwest Univ. for Nat., Lanzhou, China
Volume
1
fYear
2010
fDate
25-27 June 2010
Abstract
Immune algorithm is a kind of optimization algorithm, which has been used to solve combinatorial optimization problems. However, the theory research findings of immune algorithm is very little. We use the immune operator to improve the general immune algorithm; then, by probability theory, we know that population sequences converge to the global optimal solution in probability 1.
Keywords
artificial immune systems; combinatorial mathematics; convergence; probability; combinatorial optimization; convergence analysis; global optimal solution; immune algorithm; immune operator; population sequences; probability theory; Algorithm design and analysis; Cloning; Convergence; Design optimization; Genetic algorithms; Genetic mutations; Libraries; Optimal control; Borel-Cantelli Lemma; Cloning operator; Convergence; Immune algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7164-5
Electronic_ISBN
978-1-4244-7164-5
Type
conf
DOI
10.1109/ICCDA.2010.5541021
Filename
5541021
Link To Document