Ridvan Saraçoğlu*, Ahmet Fatih Kazankaya†
Computer Systems Science and Engineering, Vol.35, No.1, pp. 13-19, 2020, DOI: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… More >
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