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Developing an Adaptation Process for Real-Coded Genetic Algorithms

Ridvan Saraçoğlu*, Ahmet Fatih Kazankaya

Department of Electrical and Electronics Engineering, Van Yuzuncu Yil University, 65080, Turkey

* Corresponding Authors: email
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Computer Systems Science and Engineering 2020, 35(1), 13-19. https://doi.org/10.32604/csse.2020.35.013

Abstract

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.

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APA Style
Saraçoğlu, R., Kazankaya, A.F. (2020). Developing an adaptation process for real-coded genetic algorithms. Computer Systems Science and Engineering, 35(1), 13-19. https://doi.org/10.32604/csse.2020.35.013
Vancouver Style
Saraçoğlu R, Kazankaya AF. Developing an adaptation process for real-coded genetic algorithms. Comput Syst Sci Eng. 2020;35(1):13-19 https://doi.org/10.32604/csse.2020.35.013
IEEE Style
R. Saraçoğlu and A.F. Kazankaya, "Developing an Adaptation Process for Real-Coded Genetic Algorithms," Comput. Syst. Sci. Eng., vol. 35, no. 1, pp. 13-19. 2020. https://doi.org/10.32604/csse.2020.35.013

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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