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
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