Advances in sine cosine algorithm: a comprehensive survey
L Abualigah, A Diabat - Artificial Intelligence Review, 2021 - Springer
Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
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 …
Sine cosine algorithm: theory, literature review, and application in designing bend photonic crystal waveguides
This chapter presented the Sine Cosine Algorithm (SCA), which is a recent meta-heuristics
using mathematical equations to estimate the global optima of optimization problems. After …
using mathematical equations to estimate the global optima of optimization problems. After …
[HTML][HTML] Continuous-time Hammerstein model identification utilizing hybridization of Augmented Sine Cosine Algorithm and Game-Theoretic approach
The widespread use of dynamic systems has greatly simplified various human-operated
tasks. However, the complex and nonlinear nature of these systems has posed challenges …
tasks. However, the complex and nonlinear nature of these systems has posed challenges …
A novel rank-order-centroid based reduction of self-balanced-bicycle-robot controller using grey-wolf optimizer
In this contribution, order reduction of self-balanced-bicycle-robot (SBBR) controller is
proposed by incorporating rank-order-centroid (ROC) based method utilizing grey-wolf …
proposed by incorporating rank-order-centroid (ROC) based method utilizing grey-wolf …
R-method-based reduction of continuous systems using grey wolf optimization algorithm
In this contribution, R-method based approximation of continuous systems to reduced order
models (ROMs) is presented by utilizing the grey wolf optimization (GWO) algorithm. The …
models (ROMs) is presented by utilizing the grey wolf optimization (GWO) algorithm. The …
Luus-jaakola algorithm assisted reduced-order model of interval modeling doha water treatment plant
Variations in the parameters of the system have a great impact on their performance. The
parameter fluctuations can be analysed appropriately using an interval system. An interval …
parameter fluctuations can be analysed appropriately using an interval system. An interval …
An improved volleyball premier league algorithm based on sine cosine algorithm for global optimization problem
Volleyball premier league (VPL) simulating some phenomena of volleyball game has been
presented recently. This powerful algorithm uses such racing and interplays between teams …
presented recently. This powerful algorithm uses such racing and interplays between teams …
Systematic learning-based system approximation using rank-exponent method exploiting gwo algorithm
In this proposal, systematic learning-based approximation of higher-order (HO) system is
performed utilising rank-exponent (RE) assisted weight determination method incorporating …
performed utilising rank-exponent (RE) assisted weight determination method incorporating …
Systematically derived weights based order diminution of continuous systems using gwo algorithm
In this research article, approximation of higher order systems (HOSs) is proposed by
minimizing the errors between time moments (TMs) and Markov parameters (MPs) of HOS …
minimizing the errors between time moments (TMs) and Markov parameters (MPs) of HOS …