Genetic optimisation of a fuzzy distribution model

Distribution problems deal with distribution from a number of sources to a number of destinations. Each source offers amounts of goods, while each destination demands quantities of these goods. The object is to find the cheapest transporting schedule that satisfies demand without violating supply re...

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Bibliographic Details
Published in:International journal of physical distribution & logistics management 2000-09, Vol.30 (7/8), p.681-696
Main Authors: Lpez Gonzlez, Enrique, Rodrguez Fernndez, Miguel A.
Format: Article
Language:English
Subjects:
Algorithms
Chromosomes
Commodities
Decision making
Distribution
Distribution costs
Fuzzy logic
Fuzzy sets
Genetic algorithms
Linear programming
Logistics
Population
Production planning
Supply chain
Supply chains
Transport
Vehicles
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Summary:Distribution problems deal with distribution from a number of sources to a number of destinations. Each source offers amounts of goods, while each destination demands quantities of these goods. The object is to find the cheapest transporting schedule that satisfies demand without violating supply restraints. In this paper we propose the use of fuzzy sets to represent the provisional information related to costs, demands and other variables. Moreover, we suggest including the problem of shortest route for the distribution vehicles. Finally, to solve this complex problem we propose using a genetic algorithm with a fuzzy fitness function.
ISSN:0960-0035
1758-664X
DOI:10.1108/09600030010346440