Sine Cosine Algorithm for Optimization

• Main Authors: Bansal, Jagdish Chand (Author), Bajpai, Prathu (Author), Rawat, Anjali (Author), Nagar, Atulya K. (Author)
• Autor Corporativo: SpringerLink (Online service)
• Formato: Recurso Electrónico livro electrónico
• Idioma: inglês
• Publicado em: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
• Edição: 1st ed. 2023.
• Colecção: SpringerBriefs in Computational Intelligence,
• Assuntos: Computational intelligence.; Mathematical optimization.; Algorithms.; Computational Intelligence.; Optimization.
• Acesso em linha: Link to Metadata

Resumo

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.

Descrição Física

X, 108 p. 21 illus., 19 illus. in color. online resource.

ISBN

9789811997228

ISSN

2625-3712

DOI

10.1007/978-981-19-9722-8

Acesso

Open Access