A comprehensive survey of sine cosine algorithm: variants and applications
AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
Golden search optimization algorithm
This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
J Xia, D Yang, H Zhou, Y Chen, H Zhang, T Liu… - Computers in Biology …, 2022 - Elsevier
Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …
and identification since it was proposed. As the parameters in the KELM model have a …
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation
Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …
to provide the necessary diagnostic assistance for it. The medical image processing …
Spiral Gaussian mutation sine cosine algorithm: framework and comprehensive performance optimization
W Zhou, P Wang, AA Heidari, X Zhao… - Expert Systems with …, 2022 - Elsevier
Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …
which is in the extensive application for a variety of optimization cases. Regardless of the …
A novel hybrid sine cosine algorithm and pattern search for optimal coordination of power system damping controllers
This paper presents an effective hybrid optimization technique based on a chaotic sine
cosine algorithm (CSCA) and pattern search (PS) for the coordinated design of power …
cosine algorithm (CSCA) and pattern search (PS) for the coordinated design of power …
Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design
The ant colony optimization algorithm is a classical swarm intelligence algorithm, but it
cannot be used for continuous class optimization problems. A continuous ant colony …
cannot be used for continuous class optimization problems. A continuous ant colony …
An effective artificial intelligence approach for slope stability evaluation
In this study, an effective intelligent system based on artificial neural networks (ANN) and a
new version of the sine cosine algorithm (SCA) is developed to evaluate and predict the …
new version of the sine cosine algorithm (SCA) is developed to evaluate and predict the …
A boosted chimp optimizer for numerical and engineering design optimization challenges
Chimp optimization algorithm (ChoA) has a wholesome attitude roused by chimp's amazing
thinking and hunting ability with a sensual movement for finding the optimal solution in the …
thinking and hunting ability with a sensual movement for finding the optimal solution in the …
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms
Evolutionary population-based methods have found their applications in dealing with many
real-world simulation experiments and mathematical modelling problems. The Moth-flame …
real-world simulation experiments and mathematical modelling problems. The Moth-flame …