Study on Hybrid Genetic Algorithm for Multi-Type Vehicle Open Vehicle Routing Problem

Chun Yu Ren

doi:10.4028/www.scientific.net/AMR.204-210.1287

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Study on Hybrid Genetic Algorithm for Multi-Type...

Study on Hybrid Genetic Algorithm for Multi-Type Vehicle Open Vehicle Routing Problem

Abstract:

Multi-type vehicle open vehicle routing problem is logistics optimization indispensable part. Hybrid genetic algorithm is used to optimize the solution. Firstly, use sequence of real numbers coding so as to simplify the problem; Construct the targeted initial solution to improve the feasibility; adopt some arithmetic crossover operator to enhance whole search ability of the chromosome. Secondly, Boltzmann simulated annealing mechanism for control genetic algorithm crossover and mutation operations improve the convergence speed and search efficiency. Finally, comparing to standard genetic algorithm, simulation results demonstrate the effectiveness and good quality.

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Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

1287-1290

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.204-210.1287

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Online since:

February 2011

Authors:

Chun Yu Ren

Keywords:

Arithmetic Crossover Operator, Boltzmann Mechanism, Hybrid Genetic Algorithm, Multi-Type Vehicle, Open Vehicle Routing Problem

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References

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