2012•Zhongguo guanli kexueRequires access

Hybrid Vehicle Routing Problem Based on Improved Fuzzy Genetic Algorithm

Rui Yan

Abstract

A hybrid mathematic model is proposed with multi-depot,multi-type and multi-product vehicle routing problem.An improved fuzzy genetic algorithm is presented to solve the hybrid vehicle routing problem.Crossover probability and mutation probability are dynamic adjusted by improved fuzzy logistic controller,in order to speed up algorithm convergence and avoid falling into local optimal solution.Compared with standard example fuzzy genetic algorithm has good results and efficiency.Fuzzy genetic algorithm is used for the experiment of hybrid vehicle routing model,and the experiment get a good result.

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Key concepts: Crossover, Vehicle routing problem, Mathematical optimization, Fuzzy logic, Genetic algorithm, Computer science, Convergence (economics), Routing (electronic design automation)