Title :
An improved immune clonal selection algorithm and its applications for VRP
Author :
Ma, Jia ; Gao, Liqun ; Shi, Gang
Author_Institution :
Sch. of Economic & Manage., Shenyang Aeronaut. Eng. Inst., Shenyang, China
Abstract :
VRP is the problem of NP of a kind of typical case. This paper is put forward an improved immune clonal selection algorithm (ICSA) through introducing cloning operator to solve the VRP 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 shows that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the VRP problem.
Keywords :
artificial immune systems; convergence; genetic algorithms; transportation; vehicles; NP problem; VRP problem; afinity maturation; antibody maturation; clonal proliferation; clonal selection operators; cloning operator; convergence velocity; global convergence reliability; global convergence speed; immune clonal selection algorithm; super mutation operators; vehicle routing problem; Automation; Cloning; Conference management; Convergence; Genetic algorithms; Information science; Logistics; Mathematical model; Routing; Vehicles; clonal selection; immune genegtic algorithm; vaccine; vehicle routing problem;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262615