Abstract:
The aim of this work is to introduction a genetic algorithm to solve transportation problem with fuzzy objective functions. The fuzzy objective functions have fuzzy deman...Show MoreMetadata
Abstract:
The aim of this work is to introduction a genetic algorithm to solve transportation problem with fuzzy objective functions. The fuzzy objective functions have fuzzy demand and supply coefficients, which are represented as fuzzy numbers. The ranking fuzzy numbers with signed-distance measurement are used for the evaluation and selection of the algorithm. The proposed genetic algorithm is not only simulating fuzzy numbers that representing fuzzy coefficients, but also finding the best solution for the fuzzy transportation problem. The numerical simulation results show that the proposed algorithm is efficient for solving the transportation problem with fuzzy coefficients.
Published in: 2009 IEEE International Conference on Fuzzy Systems
Date of Conference: 20-24 August 2009
Date Added to IEEE Xplore: 02 October 2009
ISBN Information:
Print ISSN: 1098-7584