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

被引:0
作者
Ren, Chunyu [1 ]
机构
[1] Heilongjiang Univ, Sch Informat Sci & Technol Management, Harbin, Peoples R China
来源
ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷
关键词
multi-type Vehicle; open vehicle routing problem; arithmetic crossover operator; Boltzmann mechanism; hybrid genetic algorithm;
D O I
10.4028/www.scientific.net/AMR.204-210.1287
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1287 / 1290
页数:4
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