Agent-based optimization of neural classifiers

• Autorzy: Byrski A. , Dobrowolski J. , Toboła K.
• Konferencja: Evolutionary Computation and Global Optimization 2008 / National Conference (11 ; 2-4.06.2008 ; Szymbark, Poland)
• Języki publikacji: EN

Abstrakty

EN

In the paper an agent-based system of evolving neural networks dedicated to solving classification problem is presented. Next, aspects of the system concerning management of collective intelligence and evolution of parameters of neural network are discussed. Evolutionary multi-agent system (EMAS) is described with enhanced immune-inspired selection mechanism. Finally selected results of the experiments are presented.

Słowa kluczowe

EN

neural network; evolutionary multi-agent system; EMAS; evolutionary computation; evolutionary algorithm; EA; optimization

PL

sieci neuronowe; obliczenia ewolucyjne; algorytm ewolucyjny; optymalizacja

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2008
• Tom: z. 165
• Strony: 59--65
• Opis fizyczny: Bibliogr. 10 poz., tab., rys., wykr.

Twórcy

autor

Byrski A.

autor

Dobrowolski J.

autor

Toboła K.

• AGH University of Science and Technology, Department of Computer Science Kraków, Poland,

Bibliografia

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• [3] A. Byrski and M. Kisiel-Dorohinicki. Collective intelligence from a population of evolving neural networks. In M.A. Kłopotek, S.T. Wierzchoń, and K. Trojanowski, editors, Intelligent Information Processing and Web Mining, Proc. of the Int. IIS:IIPWM'03 Conference. Springer Verlag, 2003.
• [4] A. Byrski and M. Kisiel-Dorohinicki. Agent-based evolutionary and immunological optimization. In Yong Shi, G. Dick van Albada, Jack Dongarra, and Peter M.A. Sloot, editors. International Conference on Computational Science (2), volume 4488 of Lecture Notes in Computer Science, pages 928-935. Springer, 2007.
• [5] A. Byrski, M. Kisiel-Dorohinicki, and E. Nawarecki. Agent-based evolution of neural network architecture. In M. Hamza, editor, Proc. of the IASTED Int. Symp.: Applied Informatics. IASTED/ACTA Press, 2002.
• [6] S. Haykin. Neural networks: a comprehensive foundation. Prentice Hall, 1999.
• [7] M. Kisiel-Dorohinicki. Agent-oriented model of simulated evolution. In William I. Grosky and Frantisek Plasil, editors, SofSem 2002: Theory and Practice of Informatics, volume 2540 of LNCS. Springer-Verlag, 2002.
• [8] M. Mitchell. An Introduction to Genetic Algorithms. MIT Press, 1998.
• [9] V. Petridis and A. Kehagias. Predictive Modular Neural Networks - Application to Time Series. Kluwer Academic Publishers, 1998.
• [10] X. Yao. Evolving artificial neural networks. Proceedings of the IEEE, 87(9): 1423-1447, 1999.