Sine Cosine Algorithm for Optimization

• Published in: SpringerBriefs in applied sciences and technology
• Main Authors: Bansal, Jagdish Chand, Bajpai, Prathu, Rawat, Anjali, Nagar, Atulya K
• Format: eBook
• Language: English
• Published: Singapore Springer Nature 2023; Springer
• Edition: 1
• Series: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
• Subjects: Artificial intelligence; Calculus and mathematical analysis; Computer science; Computer Technology; Computing and Information Technology; Mathematics; Mathematics and Science; Meta-heuristics; Nonfiction; Numerical analysis; Numerical Experiments; Numerical Optimization; Optimization; Sine Cosine Algorithms; Soft Computing
• ISBN: 9789811997228; 9811997225; 9789811997211; 9811997217
• ISSN: 2191-5318; 2191-530X; 2191-5318
• DOI: 10.1007/978-981-19-9722-8

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.