Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism

  • Leszek Siwik
  • Marek Kisiel-Dorohinicki
Conference paper

DOI: 10.1007/978-3-540-71618-1_16

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4431)
Cite this paper as:
Siwik L., Kisiel-Dorohinicki M. (2007) Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism. In: Beliczynski B., Dzielinski A., Iwanowski M., Ribeiro B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4431. Springer, Berlin, Heidelberg

Abstract

The paper presents one of additional mechanisms called distributed frontier crowding which can be introduced to the Semi-Elitist Evolutionary Multi Agent System—selEMAS and which can significantly improve the quality of obtained Pareto frontier approximation. The preliminary experimental comparative studies are based on a typical multi-objective problem presenting the most important features of the proposed approach.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Leszek Siwik
    • 1
  • Marek Kisiel-Dorohinicki
    • 1
  1. 1.Department of Computer Science, AGH University of Science and Technology, KrakówPoland

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