skip to main content
10.1145/2464576.2464658acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
abstract

A fuzzy evolutionary simulation model (FESModel) for fleet combat strategies

Published: 06 July 2013 Publication History

Abstract

Computational simulations appear as suitable solution for training military forces with a reduced operational cost. Such simulations require solutions that include models that must be close to reality. This work proposes a solution for an important part of warfare simulation: strategy. Hughes [1] explains that in "Modern Warfare", the strategy is the highest level resource, because considers other integrated and non-precision variables. Using Genetic Algorithm (GA) and Fuzzy Logic (FL), this work aims to provide a combat strategy optimization, considering: improvement of the probability to cause damage on enemy fleet and minimization of two others variables: mission's cost and risk. The results indicate that model can be extended and incorporated into a real warfare simulation environment

References

[1]
W. P. Hughes, Fleet Tactics and Coastal Combat. Naval Institute Press, 2000.
[2]
D. H. Wagner, Naval Operations Analysis. Naval Institute Press, 1999.
[3]
M. Mazurek and S. Wesolkowski, "Minimizing risk on a fleet mix problem with a multiobjective evolutionary algorithm," in IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009, 2009, pp. 1--7.
[4]
G. Chen and T. T. Pham, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. Boca Raton, FL: CRC Press, 2001.
[5]
P. Rangel, J.G. Carvalho, M.R. Ramirez, e J.M. Souza, "Context Reasoning through a multiple logic framework", 6th International conference on Intelligent Environments -- IE'10, Kuala Lumpur, Malaysia 2010.
[6]
J.G. Carvalho, P. Rangel, e N. F. Ebecken, "A multi-logic framework for multilevel fusion in real time data fusion applications", 13th International Conference on Information Fusion, Edinburgh, UK, 2010.

Index Terms

  1. A fuzzy evolutionary simulation model (FESModel) for fleet combat strategies

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
    July 2013
    1798 pages
    ISBN:9781450319645
    DOI:10.1145/2464576
    • Editor:
    • Christian Blum,
    • General Chair:
    • Enrique Alba
    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: 06 July 2013

    Check for updates

    Author Tags

    1. fuzzy logic
    2. genetic algorithm
    3. warfare simulation

    Qualifiers

    • Abstract

    Conference

    GECCO '13
    Sponsor:
    GECCO '13: Genetic and Evolutionary Computation Conference
    July 6 - 10, 2013
    Amsterdam, The Netherlands

    Acceptance Rates

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

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 65
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 17 Jan 2025

    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