Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques

  • Authors:
  • Oscar Cordón;Francisco Herrera;Luciano Sánchez

  • Affiliations:
  • Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain. ocordon@decsai.ugr.es;Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain. herrera@decsai.ugr.es;Department of Computer Science, University of Oviedo, Oviedo, Spain. luciano@lsi.uniovi.es

  • Venue:
  • Applied Intelligence
  • Year:
  • 1999

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Abstract

Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show thatGenetic Fuzzy Rule-Based Systems and Genetic Programming techniques are good choices for tackling with some practical modelingproblems. We claim that both evolutionary processes may produce good numerical results while providing us with amodel that can be interpreted by a human being. We will analyze in detail the characteristics of these two methods and we will compare them to the some of the most popular classical statistical modeling methods and neural networks.