Sine Cosine Algorithm for Optimization Paperback / softback
by Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar
Part of the SpringerBriefs in Applied Sciences and Technology series
Paperback / softback
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:108 pages, 19 Illustrations, color; 2 Illustrations, black and white; X, 108 p. 21 illus., 19 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:31/01/2023
- Category:
- ISBN:9789811997211
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:108 pages, 19 Illustrations, color; 2 Illustrations, black and white; X, 108 p. 21 illus., 19 illus.
- Publisher:Springer Verlag, Singapore
- Publication Date:31/01/2023
- Category:
- ISBN:9789811997211
