Paralel Makinalarin Genetik Algoritma Ile Cizelgelenmesinde Mutasyon Oraninin Etkinligi

Murat Kocamaz () and Ural Gokay Cicekli ()
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Murat Kocamaz: Ege Universitesi Iktisadi ve Idari Bilimler Fakultesi Isletme Bolumu
Ural Gokay Cicekli: Ege Universitesi Iktisadi ve Idari Bilimler Fakultesi Isletme Bolumu

Ege Academic Review, 2010, vol. 10, issue 1, 199-210

Abstract: Genetik algoritma (GA), karmasik olarak bilinen paralel makinalarin cizelgelenmesi problemlerinin cozumlenmesinde kullanilan sezgisel bir yontemdir. GA, sahip oldugu operatorlerin gerceklesme oranlarina bagli olarak olumlu veya olumsuz performans gostermektedir. Bu operatorden bir tanesi de mutasyon oranidir. Bu calismada paralel makinalarin cizelgelenmesinde mutasyon oraninin genetik algoritma performansi uzerine etkisi arastirilmistir.

JEL-codes: M11 (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:ege:journl:v:10:y:2010:i:1:p:199-210

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