Multiobjective Optimization Using Ideas from the Clonal Selection Principle

  • Nareli Cruz Cortés
  • Carlos A. Coello Coello
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2723)


In this paper, we propose a new multiobjective optimization approach based on the clonal selection principle. Our approach is compared with respect to other evolutionary multiobjective optimization techniques that are representative of the state-of-the-art in the area. In our study, several test functions and metrics commonly adopted in evolutionary multiobjective optimization are used. Our results indicate that the use of an artificial immune system for multiobjective optimization is a viable alternative.


Pareto Front Multiobjective Optimization External Memory Multiobjective Optimization Problem Nondominated Solution 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Nareli Cruz Cortés
    • 1
  • Carlos A. Coello Coello
    • 1
  1. 1.Evolutionary Computation Group, Depto. de Ingeniería Eléctrica, Sección de ComputaciónCINVESTAV-IPNMéxico, D. F.Mexico

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