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A Short Tutorial on Evolutionary Multiobjective Optimization

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Evolutionary Multi-Criterion Optimization (EMO 2001)

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Abstract

This tutorial will review some of the basic concepts related to evolutionary multiobjective optimization (i.e., the use of evolutionary algorithms to handle more than one objective function at a time). The most commonly used evolutionary multiobjective optimization techniques will be described and criticized, including some of their applications. Theory, test functions and metrics will be also discussed. Finally, we will provide some possible paths of future research in this area.

This work was done while the author was at the Laboratorio Nacional de Informática Avanzada, Rébsamen 80, Xalapa, Veracruz 91090, México.

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Authors and Affiliations

  1. CINVESTAV-IPNDepto. de Ingeniería Eléctrica, Sección de Computación Av. Instituto Politécnico Nacional, D. F. 07300, No. 2508, Col. San Pedro Zacatenco, México

    Carlos A. Coello Coello Coello

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  1. Carlos A. Coello Coello Coello
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Editors and Affiliations

  1. Department of Electrical Engineering Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology, ETH Zentrum, Gloriastrasse 35, 8092, Zurich, Switzerland

    Eckart Zitzler  & Lothar Thiele  & 

  2. Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory, Indian Institute of Technology, UP 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Electrical Engineering Department,Computer Science Section Av.Instituto Politecnico Nacional No.2508, CINVESTAV-IPN, Col.San Pedro Zacatenco, 07300, Mexico City, Mexico

    Carlos Artemio Coello Coello

  4. Department of Computer Science, University of Reading, P.O.Box 225, Reading RG6 6AY, Whiteknights, UK

    David Corne

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Coello Coello Coello, C.A. (2001). A Short Tutorial on Evolutionary Multiobjective Optimization. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_2

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