In this study, an improved version is presented as a result of experiments performed on the whale optimization algorithm (WOA) in the literature. As a result of the experiments, number was added to the coefficient vector of the algorithm. The developed WOA algorithm based on the number of was adapted to test problems. The 23 most common Benchmark functions have been selected as test problems. In line with the results, it was observed that the exploitation and exploration phases of the WOA developed. The success of the results has proven itself in comparison with other algorithms.
Thank to Dr. Seyedali Mirjalili for his scientifically motivating research and for clearly sharing them with everyone.
In this study, an improved version is presented as a result of experiments performed on the whale optimization algorithm (WOA) in the literature. As a result of the experiments, number was added to the coefficient vector of the algorithm. The developed WOA algorithm based on the number of was adapted to test problems. The 23 most common Benchmark functions have been selected as test problems. In line with the results, it was observed that the exploitation and exploration phases of the WOA developed. The success of the results has proven itself in comparison with other algorithms.
Primary Language | English |
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Subjects | Artificial Intelligence |
Journal Section | Articles |
Authors | |
Publication Date | June 30, 2020 |
Acceptance Date | May 10, 2020 |
Published in Issue | Year 2020 Volume: 4 Issue: 1 |