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Adaptation to Software of Epigenetic Algorithm
Author(s) -
Serdar Biroğul
Publication year - 2018
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.201805010
Subject(s) - epigenetics , randomness , crossover , adaptation (eye) , computer science , genetic algorithm , perspective (graphical) , algorithm , software , theoretical computer science , mathematics , biology , artificial intelligence , genetics , machine learning , statistics , neuroscience , gene , programming language
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.

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