Hybrid Genetic Tabu Search Simulated Annealing Algorithm and its application in vehicle routing problem with time windows

Author

Shi, Mengzhu ; Lin, Qingguo ; Zhang, Qiang ; Zhao, Huanhong

Author_Institution

Sch. of Mech. Eng., Shandong Univ., Jinan, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

4022

Lastpage

4025

Abstract

A detail analysis of VRPTW and the condition for the investigation of VRPTW is proposed following with some related mathematics models. For the characteristics of the VRPTW, GTSA algorithm is designed combined with the Tabu Search algorithm and Simulated Annealing algorithm. Finally, an instance is presented to validate the three algorithms GA, GSA and GTSA by MATLAB and some comparisons between them are made. It is concluded that the GSA and GTSA have very good searching capability and computing efficiency, with stable and reliable computing ability.

Keywords

genetic algorithms; search problems; simulated annealing; transportation; Tabu search algorithm; hybrid genetic algorithm; mathematics models; searching capability; simulated annealing algorithm; time windows; vehicle routing problem; Algorithm design and analysis; Genetic algorithms; Mathematical model; Routing; Simulated annealing; Vehicles; Genetic algorithm; Hybrid Genetic algorithm; Simulated Annealing; Tabu Search; VRPTW;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010067

Filename

6010067