This open access book serves as a compact source of information on sine cosine algorithm (SCA)
and a foundation for developing and advancing SCA and its applications. SCA is an easy
user-friendly and strong candidate in the field of metaheuristics algorithms. Despite being a
relatively new metaheuristic algorithm it has achieved widespread acceptance among researchers
due to its easy implementation and robust optimization capabilities. Its effectiveness and
advantages have been demonstrated in various applications ranging from machine learning
engineering design and wireless sensor network to environmental modeling. The book provides a
comprehensive account of the SCA including details of the underlying ideas the modified
versions various applications and a working MATLAB code for the basic SCA.
