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 …

Metaheuristic algorithms based on intelligent rules have been successfully developed and
applied to solve many optimization areas over the past few decades. The sine–cosine …

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 …

Real-world optimization problems demand an algorithm which properly explores the search
space to find a good solution to the problem. The sine cosine algorithm (SCA) is a recently …

Sine cosine algorithm (SCA) is a widely used nature-inspired algorithm that is simple in
structure and involves only a few parameters. For some complex tasks, especially high …

The sine cosine algorithm (SCA) is a well-known meta-heuristic optimization algorithm. SCA
has received much attention in various optimization fields due to its simple structure and …

The sine cosine algorithm (SCA) is a newly emerging optimization algorithm. It is easy for
sine cosine algorithm (SCA) to sink into premature of the algorithm and obtain a slower …

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 …

Inspired by the mathematical characteristics of sine and cosine trigonometric functions, the
Sine Cosine Algorithm (SCA) has shown competitive performance among other meta …

Abstract The Sine Cosine Algorithm (SCA) is a recently developed efficient metaheuristic
algorithm to find the solution of global optimization problems. However, in some …