Title :
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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.73