LCS and GP Approaches to Multiplexer’s Problem

Authors

  • Katarzyna Wasilewska
  • Mariusz Bagiński
  • Franciszek Seredyński

Abstract

In this paper we present the use of learning classifier systems and genetic programming to solving multiplexer’s problem. The function of multiplexer is the popular apparatus of researches which is used to investigate the effectiveness of systems based on evolutionary algorithms. It turns out that the eXtended Classifier System (XCS) learns the problem of multiplexer effectively and Genetic Programming (GP) finds the form of function of multiplexer correctly.

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Published

2006-12-15

How to Cite

Wasilewska, K., Bagiński, M., & Seredyński, F. (2006). LCS and GP Approaches to Multiplexer’s Problem. Studia Informatica. System and Information Technology, 7(1-2), 195–206. Retrieved from https://czasopisma.uph.edu.pl/studiainformatica/article/view/2861