[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/2598394.2605351acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
tutorial

Parameterized complexity analysis of evolutionary algorithms

Published: 12 July 2014 Publication History
First page of PDF

References

[1]
Karl Bringmann and Tobias Friedrich. Parameterized average-case complexity of the hypervolume indicator. In Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), pages 575-582. ACM Press, 2013.
[2]
Dogan Corus, Per Kristian Lehre, and Frank Neumann. The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation. In Christian Blum and Enrique Alba, editors, GECCO, pages 519-526. ACM, 2013.
[3]
Stefan Kratsch, Per Kristian Lehre, Frank Neumann, and Pietro Oliveto. Fixed parameter evolutionary algorithms and maximum leaf spanning trees: A matter of mutation. In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, and Günter Rudolph, editors, Parallel Problem Solving from Nature - PPSN XI, volume 6238 of Lecture Notes in Computer Science, pages 204-213. Springer Berlin / Heidelberg, 2011.
[4]
Stefan Kratsch and Frank Neumann. Fixed-parameter evolutionary algorithms and the vertex cover problem. Algorithmica, 65(4):754-771, 2013.
[5]
Samadhi Nallaperuma, Andrew M. Sutton, and Frank Neumann. Fixed-parameter evolutionary algorithms for the Euclidean traveling salesperson problem. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 2037-2044, 2013.
[6]
Frank Neumann and Carsten Witt. Bioinspired Computation in Combinatorial Optimization - Algorithms and Their Computational Complexity. Springer, 2010.
[7]
Andrew M. Sutton, Jareth Day, and Frank Neumann. A parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 2012.
[8]
Andrew M. Sutton and Frank Neumann. A parameterized runtime analysis of simple evolutionary algorithms for makespan scheduling. In Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, and Mario Pavone, editors, Parallel Problem Solving from Nature - PPSN XII, volume 7491 of Lecture Notes in Computer Science, pages 52-61. Springer Berlin Heidelberg, 2012.
[9]
Andrew M. Sutton, Frank Neumann, and Samadhi Nallaperuma. Parameterized runtime analyses of evolutionary algorithms for the planar Euclidean traveling salesperson problem. Evolutionary Computation, (in press), 2014.

Index Terms

  1. Parameterized complexity analysis of evolutionary algorithms

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
    July 2014
    1524 pages
    ISBN:9781450328814
    DOI:10.1145/2598394
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 July 2014

    Check for updates

    Author Tags

    1. evolutionary algorithms
    2. fixed-parameter tractability
    3. parameterized complexity

    Qualifiers

    • Tutorial

    Conference

    GECCO '14
    Sponsor:
    GECCO '14: Genetic and Evolutionary Computation Conference
    July 12 - 16, 2014
    BC, Vancouver, Canada

    Acceptance Rates

    GECCO Comp '14 Paper Acceptance Rate 180 of 544 submissions, 33%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 73
      Total Downloads
    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 18 Dec 2024

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media