DocumentCode :
468383
Title :
VRP Based on Improved Niche Isolation Genetic Algorithm
Author :
Chen, Zixia ; Xuan, Youshi
Author_Institution :
Zhejiang Gongshang Univ., Hangzhou
Volume :
3
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
724
Lastpage :
730
Abstract :
With the problems that traditional genetic algorithm is easy to converge untimely, and its searching efficiency will be lower in later stage of evolution, the paper designs an improved niche isolation genetic algorithm. This algorithm is based on niche isolation genetic algorithm and adopts migrating operator and simulated annealing theory. It not only keeps the diversity of the group, but also avoids getting into partial optimization. Simulation experiments and validity analysis of the algorithm are also given. The results prove it has good performance in solving vehicle routing problems (VRP).
Keywords :
genetic algorithms; mathematical operators; simulated annealing; transportation; vehicles; migrating operator; niche isolation genetic algorithm; simulated annealing theory; vehicle routing problems; Algorithm design and analysis; Biological system modeling; Computational biology; Evolution (biology); Genetic algorithms; Logistics; Mathematical model; Sequences; Simulated annealing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.612
Filename :
4406332
Link To Document :
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