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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1287-1290

DOI:

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

Citation:

C. Y. Ren "Study on Hybrid Genetic Algorithm for Multi-Type Vehicle Open Vehicle Routing Problem", Advanced Materials Research, Vols. 204-210, pp. 1287-1290, 2011

Online since:

February 2011

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Price:

$35.00

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