Genetic optimisation of a fuzzy distribution model
Enrique López Gonzá lez; Miguel A Rodríguez Fernández
Abstract:
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.
Bibliographical:
- Title: Genetic optimisation of a fuzzy distribution model
- Author(s): Enrique López Gonzá lez; Miguel A Rodríguez Fernández
- Journal: International Journal of Physical Distribution & Logistics Management
- Year: 2000 Volume: 30 Number: 7 Page: 681 -- 696
- Publisher: Emerald Group Publishing Limited
URL:
http://fiordiliji.emeraldinsight.com/vl=3470079/cl=32/nw=1/rpsv/~1077/v30n7/s7/p681 (local filename p681.pdf)
Notes:
Uses a GA to massage matrices to solve a more complex than standard TSP. Also uses fuzzy sets. Representation is just numbers, however the mutation is quite domain specific.