Abstract
In the paper an agent-based evolutionary approach to searching for a global solution in the Pareto sense to multiobjective optimisation is discussed.The main stress is put on problems of e ective management of such a system.Management mechanisms based on closed circulation of life energy that sustain autonomy of agents and allow for control of the dynamics of agent population are proposed.Preliminary experimental results conclude the work.
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References
P. Bonissone. Soft computing: the convergence of emerging reasoning technolo-gies. Soft Computing, 1(1):6–18, 1997.
A. Byrski, L. Siwik, and M. Kisiel-Dorohinicki. Designing population-structured evolutionary computation systems. In T. Burczyńnski, W. Cholewa, and W. Moczulski, editors, Methods of Artificial Intelligence (AI-METH 2003), pages 91–96. Silesian University of Technology, Gliwice, Poland, 2003.
C. A. Coello Coello, D. A. Van Veldhuizen, and G. B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, 2002.
K. Deb. Multi-Objective Optimization using Evolutionary Algorithms. John Wiley & Sons, 2001.
J. Ferber. Multi-Agent Systems. An Introduction to Distributed Artificial Intel-ligence. Addison-Wesley, 1999.
M. Kisiel-Dorohinicki. Agent-oriented model of simulated evolution. In W. I. Grosky and F. Plasil, editors, SofSem 2002: Theory and Practice of Informatics, Lecture Notes in Computer Science. Springer-Verlag, 2002.
M. Kisiel-Dorohinicki, G. Dobrowolski, and E. Nawarecki. Evolutionary multi-agent system in multiobjective optimisation. In M. Hamza, editor, Proc. of the IASTED Int. Symp.: Applied Informatics. IASTED/ACTA Press, 2001.
M. Kisiel-Dorohinicki, G. Dobrowolski, and E. Nawarecki. Agent populations as computational intelligence. In L. Rutkowski and J. Kacprzyk, editors, Neural Networks and Soft Computing, Advances in Soft Computing, pages 608–613. Physica-Verlag, 2003.
M. Kisiel-Dorohinicki and K. Socha. Crowding factor in evolutionary multi-agent system for multiobjective optimization. In H. R. Arabnia, editor, Proc. of Int. Conf. on Artificial Intelligence (IC-AI 2001). CSREA Press, 2001.
E. Nawarecki, M. Kisiel-Dorohinicki, and G. Dobrowolski. Organisations in the particular class of multi-agent systems. In B. Dunin-Keplicz and E. Nawarecki, editors, From Theory to Practice in Multi Agent Systems, volume 2296 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 2002.
A. Osyczka. Evolutionary Algorithms for Single and Multicriteria Design Opti-mization. Physica Verlag, 2002.
G. Weiss, editor. Multiagent Systems: A Modern Approach to Distributed Arti-ficial Intelligence. The MIT Press, 1999.
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Dobrowolski, G., Kisiel-Dorohinicki, M. (2004). Management of Evolutionary Mas for Multiobjective Optimisation. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_8
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DOI: https://doi.org/10.1007/1-4020-2267-0_8
Publisher Name: Springer, Dordrecht
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