Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments

  • Jerzy Balicki
Conference paper

DOI: 10.1007/978-3-540-24844-6_57

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3070)
Cite this paper as:
Balicki J. (2004) Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments. In: Rutkowski L., Siekmann J.H., Tadeusiewicz R., Zadeh L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science, vol 3070. Springer, Berlin, Heidelberg

Abstract

In this paper, an evolutionary algorithm based on an immune system activity to handle constraints is discussed for three-criteria optimisation problem of finding a set of Pareto-suboptimal task assignments in parallel systems. This approach deals with a modified genetic algorithm cooperating with a main evolutionary algorithm. An immune system activity is emulated by a modified genetic algorithm to handle constraints. Some numerical results are submitted.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jerzy Balicki
    • 1
  1. 1.Computer Science DepartmentThe Naval University of GdyniaGdyniaPoland

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