A Hybrid Genetic Algorithm for Route Optimization in Multimodal Transport

Author

Xianghe Jing ; Yunfei Liu ; Wenjie Cao

Author_Institution

Dept. of Antiaircraft Missile, Air Defense Forces Acad., Zhengzhou, China

Volume

1

fYear

2012

fDate

28-29 Oct. 2012

Firstpage

261

Lastpage

264

Abstract

Multimodal transport is the effectual means of competition and cooperation in modern logistics system. on the base of analyzing the mathematics model and virtual transport network for route optimization problem in multimodal transport, a hybrid genetic algorithm is presented for solving the route optimization problem in multimodal transport. the design of chromosome coding, genetic operators, restriction controlling method and population diversity controlling method is also proposed. Finally, the effectiveness of the hybrid genetic algorithm is convinced by the computational results of an example.

Keywords

genetic algorithms; goods distribution; logistics; chromosome coding; competition; cooperation; genetic operator; hybrid genetic algorithm; logistics system; multimodal transport; population diversity controlling method; restriction controlling method; route optimization; virtual transport network; Biological cells; Cities and towns; Genetic algorithms; Mathematical model; Optimization; Sociology; Statistics; hybrid genetic algorithm component; multimodal transport; route optimization problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-2646-9

Type

conf

DOI

10.1109/ISCID.2012.73

Filename

6406968