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 discussing the mathematical model, a brief literature review is given covering the most recent improvements and applications of this algorithm. The performance of this algorithm is benchmarked on a wide range of test functions showing the flexibility of SCA in solving diverse problems with different characteristics. The chapter also considers finding an optimal design for a bend photonics crystal that shows the merits of this algorithm is solving challenging real-world problems.
CITATION STYLE
Mirjalili, S. M., Mirjalili, S. Z., Saremi, S., & Mirjalili, S. (2020). Sine cosine algorithm: Theory, literature review, and application in designing bend photonic crystal waveguides. In Studies in Computational Intelligence (Vol. 811, pp. 201–217). Springer Verlag. https://doi.org/10.1007/978-3-030-12127-3_12
Mendeley helps you to discover research relevant for your work.