DocumentCode
3067130
Title
Genetic Algorithm in Vehicle Routing Problem
Author
Zhang, Yueqin ; Liu, Jinfeng ; Duan, Fu ; Ren, Jing
Author_Institution
Taiyuan Univ. of Technol., Taiyuan
Volume
2
fYear
2007
fDate
26-28 Nov. 2007
Firstpage
578
Lastpage
581
Abstract
Genetic Algorithm is an excellent approach to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. Currently, There are many papers doing research on introducing genetic algorithm into VRP and most of them un-emphasize the limitations of the network. In this condition it has more freedom in the production of the initial individual population and in the process of evolution to implement VRP. Larruping, on the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton(FA) to produce individual population and proposes a new evolution way enlightened by hermaphrodites. The analyses of experiment results are also shown at the end of the paper.
Keywords
finite automata; genetic algorithms; logistics; transportation; vehicles; NP-complete problem; finite automaton; genetic algorithm; hermaphrodite; logistics; vehicle routing problem; Biological cells; Constraint optimization; Costs; Genetic algorithms; Logistics; NP-complete problem; Optimized production technology; Routing; Software; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-0-7695-2994-1
Type
conf
DOI
10.1109/IIHMSP.2007.4457776
Filename
4457776
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