Sine Cosine Algorithm for Optimization

• Главный автор: Bansal, Jagdish Chand (auth)
• Другие авторы: Bajpai, Prathu (auth), Rawat, Anjali (auth), Nagar, Atulya K. (auth)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Singapore Springer Nature 2023
• Серии: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
• Предметы: Artificial intelligence; Optimization; Numerical analysis; Sine Cosine Algorithms; Meta-heuristics; Numerical Optimization; Soft Computing; Numerical Experiments
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

Итог

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.

Объем

1 electronic resource (108 p.)

ISBN

978-981-19-9722-8
9789811997228

Доступ

Open Access