Title: Adaptation to Software of Epigenetic Algorithm

Abstract: Genetic algorithm has been used in several researches to be a successful solution algorithm. In this study, Concept of Epigenetic is presented different perspective for GA to find a better solutions and results in short time. Randomness is a matter of GA. Adaptation of the epigenetic to GA design, which is one of the research topic that have been seriously investigated in the field of medicine and biology Reduces this randomness.randomization of Epigenetic crossing and mutation shows that the procession is not lucky happened. In addition crossover and change operators in the classical GA, epicrossover and epimutation operators in EGA software,shows how epigenetic factors work and how epiheritance is possible.

Keywords: Epigenetic; genetic algortihm; epicrossover; epimutation; epiheritance

Başlık: Epigenetik Algoritmanın Yazılıma Uyarlanması

Özet: Genetik algoritmaların (GA) başarılı bir çözüm algoritması olarak olduğu birçok çalışmada ortaya konmuştur. Bu çalışmada Epigenetik kavramının GA’nın daha iyi çözüm ve daha kısa sürede sonuç bulabilmesi için farklı bir bakış açısı sunulmaktadır. GA'da rastgelelik söz konusudur. Ancak tıp ve biyolojik alanında üzerine ciddi araştırmalar yapılan konulardan biri olan epigenetiğin GA tasarımına uyarlanması bu rastgeleliği daha az hale getirmektedir. Epigenetik ile çaprazlama ve mutasyonun rastgele olması sürecin de şans eseri olduğunu göstermemektedir. Klasik GA da yer alan çaprazlama ve değişim operatörlerine ek olarak EGA yazılımında epiçaprazlama ve epideğişim operatörleri, epigenetik faktörlerin nasıl işlev gördüğü ve epikalıtımın nasıl mümkün olduğu anlatılmıştır.

Anahtar kelimeler: Epigenetik; genetik algoritma; epiçaprazlama; epideğişim; epikalıtım

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