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Multiobjective Optimization and Artificial Immune Systems: A Review

Multiobjective Optimization and Artificial Immune Systems: A Review
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Author(s): Fabio Freschi (Politecnico di Tornio, Italy), Carlos A. Coello Coello (CINESTAV-IPN, Evolutionary Computation Group, Mexico)and Maurizio Repetto (Politecnico di Tornio, Italy)
Copyright: 2009
Pages: 21
Source title: Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
Source Author(s)/Editor(s): Hongwei Mo (Harbin Engineering University, China)
DOI: 10.4018/978-1-60566-310-4.ch001

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Abstract

This chapter aims to review the state of the art in algorithms of multiobjective optimization with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune Systems (AIS) have some intrinsic characteristics which make them well suited as multiobjective optimization algorithms. Following this basic idea, different implementations have been proposed in the literature. This chapter aims to provide a thorough review of the literature on multiobjective optimization algorithms based on the emulation of the immune system.

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