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Artificial Immune System Based on Clonal Selection and Game Theory Principles for Multiobjective Optimization

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Artificial Immune Systems (ICARIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6825))

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Abstract

In order to make decisions in multi-criteria environments there is a need to find solutions with compromises. They are compromises for all criteria and create a set of solutions named the Pareto frontier. Based on these possibilities the decision maker can choose the best solution by looking at the current preferences. This paper is dedicated to methods of finding solutions in multi-criteria environments using Artificial Immune System and game theory, and coupling both approaches to create a new intelligent hybrid system of decision making.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Cracow University of Technology, Warszawska 24, 31-155, Cracow, Poland

    Pawel Jarosz & Tadeusz Burczyñski

  2. Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, 18A Konarskiego str., 44-100, Gliwice, Poland

    Tadeusz Burczyñski

Authors
  1. Pawel Jarosz
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  2. Tadeusz Burczyñski
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Editor information

Editors and Affiliations

  1. Computer Laboratory, University of Cambridge, William Gates Building, 15 JJ Thomson Avenue, CB3 0FD, Cambridge, UK

    Pietro Liò

  2. Department of Mathematics and Computer Science, University of Catania, Viale A. Doria, 6, 95125, Catania, Italy

    Giuseppe Nicosia

  3. Chair for IT Security (I20), Technische Universität München, Boltzmannstraße 3, 85748, Garching, Germany

    Thomas Stibor

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© 2011 Springer-Verlag Berlin Heidelberg

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Jarosz, P., Burczyñski, T. (2011). Artificial Immune System Based on Clonal Selection and Game Theory Principles for Multiobjective Optimization. In: Liò, P., Nicosia, G., Stibor, T. (eds) Artificial Immune Systems. ICARIS 2011. Lecture Notes in Computer Science, vol 6825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22371-6_28

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  • DOI: https://doi.org/10.1007/978-3-642-22371-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22370-9

  • Online ISBN: 978-3-642-22371-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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