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 …

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 …

A novel design method, sine-cosine algorithm (SCA) is presented in this paper to determine
optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage …

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 …

Meta-heuristic algorithms distinguish themselves from conventional optimization methods
owing to their intrinsic adaptability and straightforward implementation. Among them, the …

This study investigates a complicated reentry trajectory optimization problem for a reusable
launch vehicle (RLV) in the presence of two control constraints and three state path …

In this work, an approach is proposed to solve binary combinatorial problems using
continuous metaheuristics. It focuses on the importance of binarization in the optimization …

In recent years, continuous metaheuristics have been a trend in solving binary-based
combinatorial problems due to their good results. However, to use this type of …

Volleyball premier league (VPL) simulating some phenomena of volleyball game has been
presented recently. This powerful algorithm uses such racing and interplays between teams …

This work proposed a new method to optimize the antenna S-parameter using a Golden
Sine mechanism-based Honey Badger Algorithm that employs Tent chaos (GST-HBA). The …