Developing adaptation process for real coded genetic algorithm
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Abstract (EN)
The genetic algorithm (GA) is a nature-inspired method that simulates biological phenomena like the life cycle and the natural selection in order to solve optimization problems. This study aimed to enhance GA by adding an additional operation on it's current state. This new process is also a biological phenomenon that includes an adaptation method. Making individuals to adapt to the best solution of the algorithm is the very basis of this method. With this adaptation method, it is possible to reach better results in a shorter time. Experimental results, which was evaluated by using a variety of optimization test functions show that this new process accelerated the algorithm and made solutions to be found in fewer generations especially for some specific cases.
Author
Ahmet Fatih Kazankaya
Institution
How to Cite
Ahmet Fatih Kazankaya (Master Thesis). Developing adaptation process for real coded genetic algorithm, 2019, Van Yüzüncü Yıl Üniversity.
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