- Tytuł:
- LCS and GP Approaches to Multiplexer’s Problem
- Autorzy:
-
Wasielewska, K.
Bagiński, M.
Seredyński, F. - Powiązania:
- https://bibliotekanauki.pl/articles/92967.pdf
- Data publikacji:
- 2006
- Wydawca:
- Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
- Tematy:
-
learning classifier system
genetic programming
multiplexer problem - Opis:
- 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.
- Źródło:
-
Studia Informatica : systems and information technology; 2006, 1(7); 195-206
1731-2264 - Pojawia się w:
- Studia Informatica : systems and information technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł