Adaptive Sine Cosine Aptimization Algorithm Based On S-type Function
Conference: ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science
01/21/2022 - 01/23/2022 at Harbin, China
Proceedings: ICETIS 2022
Pages: 4Language: englishTyp: PDF
Authors:
Huai, Min; Cui, Yinghua (Beijing Information Science and Technology University, Beijing, China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China)
Abstract:
The Sine Cosine Algorithm is a new type of swarm intelligence algorithm. Aiming at the shortcomings of standard sine cosine algorithm, adaptive sine cosine aptimization algorithm based on S-type function (SCASF) is proposed. Utilizing the characteristics of S-type functions, the nonlinear adjustment of parameters is realized, and dynamic inertia weights are introduced to better balance the global search ability and local development ability of the algorithm. The results of simulation experiments on multiple classic test functions indicate that compared with the standard sine cosine algorithm and genetic algorithm, the SCASF algorithm has a significant improvement in the convergence speed and the convergence accuracy.