Abstract
In this paper, we deal with the problem of computing the maintenance costs of electrical medium line in spanish towns. To do so, we present two Data Analysis tools taking as a base Evolutionary Algorithms, the Interval Genetic Algorithm-Programming method to perform symbolic regression and Genetic Fuzzy Rule-Based Systems to design fuzzy models, and use them to solve the said problem. Results obtained are compared with other kind of techniques: classical regression and neural modeling.
This research has been supported by Hidroeléctrica del Cantábrico, under Contract CN-96-055-B1 with the University of Oviedo, and by CYCIT, under Project TIC96-0778 with the University of Granada.
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Cordón, O., Herrera, F., Sánchez, L. (1998). Computing the spanish medium electrical line maintenance costs by means of evolution-based learning processes. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_778
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DOI: https://doi.org/10.1007/3-540-64582-9_778
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