Title :
Immune Genetic Algorithm for Vehicle Routing Problem with Time Windows
Author :
Ma, Jia ; Zou, Hao ; Gao, Li-Qun ; Li, Dan
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
Focused on the VRPTW (vehicle routing problem with time windows) and based on SGA (simple genetic algorithm), this paper employs a new IGA (immune genetic algorithm) to solve the VRPTW through using immune operator. This algorithm based on the global searching method of SGA, and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of SGA. The experiment shows that the proposed IGA can improve the global research ability and the speed of convergence, so it could solve the VRPTW effectively
Keywords :
genetic algorithms; search problems; transportation; travelling salesman problems; vehicles; biology immunity mechanism; diversity preservation strategy; global searching method; immune genetic algorithm; immune operator; time window-based vehicle routing problem; Automotive engineering; Biomedical engineering; Cybernetics; Evolution (biology); Genetic algorithms; Genetic engineering; Immune system; Information science; Machine learning; Mathematical model; Routing; Time factors; Vaccines; Vehicles; Immune genetic algorithm; Immune operator; Time windows; Vaccine; Vehicle Routing Problem;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258534
