Sine Cosine Algorithm for Optimization by Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.;

Series: SpringerBriefs in Applied Sciences and Technology;

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Product details:

Edition number 1st ed. 2023
Publisher Springer Nature Singapore
Date of Publication 31 January 2023
Number of Volumes 1 pieces, Book

ISBN 9789811997211
Binding Paperback
No. of pages108 pages
Size 235x155 mm
Weight 197 g
Language English
Illustrations X, 108 p. 21 illus., 19 illus. in color. Illustrations, black & white

Long description:

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.