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Developing an Adaptation Process for Real-Coded Genetic Algorithms     
Yazarlar (2)
Rıdvan Saraçoğlu
Van Yüzüncü Yıl Üniversitesi, Türkiye
Öğr. Gör. Ahmet Fatih KAZANKAYA Öğr. Gör. Ahmet Fatih KAZANKAYA
Kırşehir Ahi Evran Üniversitesi, Türkiye
Devamını Göster
Özet
The genetic algorithm (GA) is a metaheuristic method which simulates the life cycle and the survival of the fittest in the nature for solving optimization problems. This study aimed to develop enhanced operation by modifying the current GA. This development process includes an adaptation method that contains certain developments and adds a new process to the classic algorithm. Individuals of a population will be trialed to adapt to the current solution of the problem by taking them separately for each generation. With this adaptation method, it is more likely to get better results in a shorter time. Experimental results show that this new process accelerated the algorithm and a certain solution has been reached in fewer generations. In addition, better solutions were achieved, especially for a certain number of generations.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı COMPUTER SYSTEMS SCIENCE AND ENGINEERING
Dergi ISSN 0267-6192 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI
Makale Dili İngilizce
Basım Tarihi 01-2020
Cilt No 35
Sayı 1
Sayfalar 13 / 19
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 5

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