The study is about the new hybrid optimization algorithm called Sine Cosine Harmony Search (SCHS). SCHS was created by combining the features of Sine Cosine Algorithm (SCA) and Harmony Search (HS) meta-heuristic algorithms. In the research, the stage of creating the model was confirmed by experiments. For this, it has been tested using global optimization techniques. Benchmark Functions (BF) with different parametric properties were used for testing time. For performance measurement, comparisons were made with various optimization algorithms. The improvement of SCHS on the basis of exploitation and exploration shows that the algorithm is competitive.
Sine Cosine Algorithm. Harmony Search. Benchmark Functions Meta-heuristic algorithms
I would like to thank Dr. Seyedali Mirjalili and Seyed Mostapha Kalami Heris for their work in the field and for making them open to us.
Birincil Dil | İngilizce |
---|---|
Konular | Yapay Zeka, Yazılım Testi, Doğrulama ve Validasyon |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 15 Nisan 2021 |
Gönderilme Tarihi | 16 Temmuz 2020 |
Kabul Tarihi | 17 Mart 2021 |
Yayımlandığı Sayı | Yıl 2021 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.