Optimisation of a class of transportation problems using genetic algorithms


Autoria(s): Chan, P.T.; Rad, A.B.; Ho, T.K.
Data(s)

2002

Resumo

This paper presents a Genetic Algorithms (GA) approach to search the optimized path for a class of transportation problems. The formulation of the problems for suitable application of GA will be discussed. Exchanging genetic information in the sense of neighborhoods will be introduced for generation reproduction. The performance of the GA will be evaluated by computer simulation. The proposed algorithm use simple coding with population size 1 converged in reasonable optimality within several minutes.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38721/

Publicador

American Society of Civil Engineers (ASCE)

Relação

http://eprints.qut.edu.au/38721/1/c38721.pdf

DOI:10.1061/40630(255)66

Chan, P.T., Rad, A.B., & Ho, T.K. (2002) Optimisation of a class of transportation problems using genetic algorithms. In Traffic And Transportation Studies 2002 : Proceedings of the Third International Conference on Traffic and Transportation Studies, American Society of Civil Engineers (ASCE), Guilin, China.

Direitos

Copyright 2002 ASCE

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #010206 Operations Research #090507 Transport Engineering #Optimisation #Genetic algorithms #Transportation
Tipo

Conference Paper