The use of sine cosine algorithm (SCA) method in the solution of optimization problems

Although many metaheuristic algorithms are inspired by different sources, the number of metaheuristic algorithms inspired by mathematics is very small. In this thesis study, the use of the recently proposed math-based Sine Cosine Algorithm (SCA) to solve optimization problems is investigated. Adaptive Sine Cosine Algorithm is employed since it is a new algorithm which includes few parameters that can improve the results obtained by the original algorithm. In addition, Golden Sine Algorithm (Gold-SA), a new math-based metaheurisitic method for solving optimization problems, is proposed in this thesis study. Gold-SA is presented with Chaotic Golden Sine Algorithms by using the normalized and hybrid structure chaotic map method which is proposed for the first time in this work. Gold-SA is also presented with the Chaotic Golden Sine Algorithms, which are improved by the chaotic mapping method of the normalized and hybrid structure.