The distribution problem in Management Accounting with genetic algorithm and fuzzy sets
| Main Authors: | López-González, E., Rodríguez-Fernández, M. A., Mendaña-Cuervo, C., Flórez-López, R. |
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| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
Universidad de las Islas Baleares
, 1999
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5084623 |
Daftar Isi:
- ABSTRACT Many different optimisation problems can be formulated on networks: For instance, we might be interested in finding the shortest path from one node to another, finding the cheapest way to connect all the nodes, or finding the best way to move objects through a network. The movement of objects through a network is called a flow. In this paper we pretend to show a new approach to a classical network optimisation problem: the transportation problem. Firstly, allowing the vehicles that can establish routes, and, also, permitting to manage with imprecise or vague information. We propose to use the Fuzzy Sets Theory [9]; [4]; [10], with the aim of being able to handle the uncertainty, which is characteristic of decisionmaking processes in distribution problems. Moreover, to optimise the distribution network we suggest to use a Genetic Algorithm (GA) [3]; [1]; [7]. The main reason for this is that GAs are heuristic optimisation methods which don’t impose restrictions to the posing of the problem. In this study, the algorithm is characterised by its use of a Fuzzy Fitness Function that allows the evaluation of imprecise information