Title :
Research of improved immune clonal algorithms and its applications
Author :
Shi, Gang ; Jing, Yuanwei
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
Based on the clonal selection theory, this paper is put forward an improved immune clonal selection algorithm through the introduction of cloning operator, and used to solve the CVRP problem. The algorithm through the introduction of clonal proliferation, super mutation operators and clonal selection operators, improves the global convergence speed, and can effectively avoid prematurity. Through those operators, the variety of antibody and afinity maturation was enhanced. Experimental results showed that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the CVRP problem.
Keywords :
artificial immune systems; convergence; clonal proliferation; clonal selection operator; clonal selection theory; cloning operator; global convergence; immune clonal algorithm; improved immune clonal selection; mutation operators; Cloning; Computational intelligence; Convergence; Genetic mutations; Immune system; Independent component analysis; Information science; Mathematical model; Routing; Vehicles; artificial immune system; clonal selection; immune clonal algorithm; vaccine; vehicle routing problems;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3819-8
Electronic_ISBN :
978-1-4244-3820-4
DOI :
10.1109/CIMSA.2009.5069950