Comparing Energetic and Immunological Selection in Agent-Based Evolutionary Optimization

  • Aleksander Byrski
  • Marek Kisiel-Dorohinicki
Part of the Advances in Soft Computing book series (AINSC, volume 35)


In the paper the idea of an immunological selection mechanism for the agent-based evolutionary computation is presented. General considerations are illustrated by the particular system dedicated to function optimization. Selected experimental results allow for the comparison of the performance of immune-inpired selection mechanisms and classical energetic ones.


Selection Mechanism Soft Computing Rosenbrock Function Step Step Intelligent Information Processing 
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Copyright information

© Springer 2006

Authors and Affiliations

  • Aleksander Byrski
    • 1
  • Marek Kisiel-Dorohinicki
    • 1
  1. 1.Department of Computer ScienceAGH University of Science and TechnologyKrakówPoland

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