Sine Cosine Algorithm for Optimization - Anjali Rawat,Prathu Bajpai,Atulya K. Nagar,Jagdish Chand Bansal
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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 r ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Anjali Rawat, Prathu Bajpai, Atulya K. Nagar, Jagdish Chand Bansal |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Izlaides gads | 2023 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789811997211 |