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Optimizing complex systems

    • University of Nevada, Reno

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations

    Abstract

    Modeling and solving complex engineering problems requires new algorithmic tools. A promising new tool for numerical optimization is the genetic algorithm. This paper presents two interesting applications using the genetic algorithm. The first optimizes a function that has a subjective output: Music. The second uses continuous parameters rather than the traditional binary parameters to find solutions to a nonlinear partial differential equation. A brief introduction to the continuous parameter genetic algorithm is given.

    Original languageEnglish
    Title of host publication1998 IEEE Aerospace Conference, AERO 1998 - Proceedings
    PublisherIEEE Computer Society
    Pages241-247
    Number of pages7
    ISBN (Print)0780343115
    DOIs
    StatePublished - 1998
    Event1998 IEEE Aerospace Conference, AERO 1998 - Snowmass, United States
    Duration: Mar 28 1998Mar 28 1998

    Publication series

    NameIEEE Aerospace Conference Proceedings
    Volume4
    ISSN (Print)1095-323X

    Conference

    Conference1998 IEEE Aerospace Conference, AERO 1998
    Country/TerritoryUnited States
    CitySnowmass
    Period03/28/9803/28/98

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