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A New Approach to Tuning Heuristic Parameters of Genetic Algorithms

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    SYSNO ASEP0031808
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve SCOPUS
    TitleA New Approach to Tuning Heuristic Parameters of Genetic Algorithms
    TitleNový přístup k nastavování heuristických parametrů genetických algoritmů
    Author(s) Holeňa, Martin (UIVT-O) SAI, RID
    Source TitleWSEAS Transactions on Information Science and Applications - ISSN 1790-0832
    Roč. 3, č. 3 (2006), s. 562-569
    Number of pages8 s.
    ActionAIKED'06. WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
    Event date15.02.2006-17.02.2006
    VEvent locationMadrid
    CountryES - Spain
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordsevolutionary optimization ; genetic algorithms ; heuristic parameters ; parameter tuning ; artificial neural networks ; convergence speed ; population diversity
    Subject RIVIN - Informatics, Computer Science
    R&D ProjectsGA201/05/0325 GA ČR - Czech Science Foundation (CSF)
    GA201/05/0557 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    EID SCOPUS33645149584
    AnnotationThe heuristic inspiration of genetic algorithms entails their dependence on many heuristic parameters. For the algorithm to work properly, those parameters need to be empirically tuned. If the values of the objective function have to be obtained in a costly experimental way, then the algorithm can not be run with several various combinations of the values of heuristic parameters. This paper suggests to use a neural-network based approximation of the objective function for parameter tuning in such situations. Such an aproach allows to investigate the convergence speed of the algorithm and the diversity of the population for many combinations of the values of heuristic parameters. A case study in materials science demonstrates the feasibility of the proposed approach.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2007
Number of the records: 1  

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