skip to main content
10.1145/1389095.1389242acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
poster

On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms

Published: 12 July 2008 Publication History

Abstract

There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called "compatibility and completeness". There is a theorem that proves that in the general case, it is not possible to create a unary comparison method with the property mentioned before. Many important conclusions have been derived from this theorem, so its correctness is fundamental for future research. In this work we demonstrate that under practical conditions, the theorem mentioned before does not hold.

References

[1]
C. A. Coello, D. Van Veldhuizen, and G. B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic/Plenum Publishers, New York, USA, 2002.
[2]
K. Deb. Multi-objective Optimization Using Evolutionary Algorithms. John Wiley and Sons, Chichester, UK, 2001.
[3]
E. Kamke. Theory of Sets. Dover Publications, Inc., New York, USA, 1950.
[4]
G. Lizarraga, A. Hernandez, and S. Botello. On the Possibility to Create a Compatible-Complete Unary Comparison Method for Evolutionary Multiobjective Algorithms. Technical report i-08-09 (cc) 15.04.2008, Centro de Investigacion en Matematicas, 2008.
[5]
E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, 7(2):529--533, May 2003.

Cited By

View all
  • (2019)Quality Evaluation of Solution Sets in Multiobjective OptimisationACM Computing Surveys10.1145/330014852:2(1-38)Online publication date: 18-Mar-2019

Index Terms

  1. On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
    July 2008
    1814 pages
    ISBN:9781605581309
    DOI:10.1145/1389095
    • Conference Chair:
    • Conor Ryan,
    • Editor:
    • Maarten Keijzer
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 July 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. multiobjective optimization
    2. pareto optimality
    3. performance measures

    Qualifiers

    • Poster

    Conference

    GECCO08
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 08 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2019)Quality Evaluation of Solution Sets in Multiobjective OptimisationACM Computing Surveys10.1145/330014852:2(1-38)Online publication date: 18-Mar-2019

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media