A Fuzzy-Hybrid Algorithm for Solving Multi-objective War-time Transport Path Optimization

Author

Ye Xue-mei ; Chen Baisong ; Fan Qinggang

Author_Institution

Second Artillery Eng. Coll., Xi´an, China

Volume

2

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

134

Lastpage

138

Abstract

War-time transport path optimization is a multi-objective optimization problem. There are some uncertain factors. In order to solve the problem quicker and more effective, this article uses fuzzy math theory and sets up a multi-objective optimization model with the transit-time satisfaction and the arrival traffic satisfaction as the goals. At the same time, the paper designs a new hybrid algorithm combined with AG, TSA and PSO. Here designs the fuzzy-hybrid optimal algorithm using the fuzzy multi-objective optimization modal and the fuzzy-hybrid algorithm. Through the example, we can find that the fuzzy-hybrid algorithm is better than the other algorithms.

Keywords

fuzzy set theory; genetic algorithms; military systems; particle swarm optimisation; search problems; transportation; GA; PSO; TSA; fuzzy math theory; fuzzy-hybrid algorithm; genetic algorithm; multiobjective optimization problem; particle swarm optimization; tabu search algorithm; traffic arrival satisfaction; transit-time satisfaction; war-time transport path; Algorithm design and analysis; Design optimization; Educational institutions; Fuzzy set theory; Heuristic algorithms; Iterative algorithms; Mathematical model; Mathematics; Optimization methods; Traffic control; Fuzzy mathematics; GA; Model; Multi-objective war-time transport; PSO; Path Optimization; TSA;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-5365-8

Electronic_ISBN

978-0-7695-3925-6

Type

conf

DOI

10.1109/ICCEE.2009.183

Filename

5380202