Sine Cosine Algorithm for Optimization

• Main Author: Bansal, Jagdish Chand (auth)
• Other Authors: Bajpai, Prathu (auth), Rawat, Anjali (auth), Nagar, Atulya K. (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Singapore Springer Nature 2023
• Series: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
• Subjects: Artificial intelligence; Optimization; Numerical analysis; Sine Cosine Algorithms; Meta-heuristics; Numerical Optimization; Soft Computing; Numerical Experiments
• Online Access: OAPEN Library: download the publication; OAPEN Library: description of the publication

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.