Jagdish Chand Bansal,Prathu Bajpai,Anjali Rawat,Atulya K. Nagar
Sine Cosine Algorithm for Optimization
Sine Cosine Algorithm for Optimization
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- More about Sine Cosine Algorithm for Optimization
This open-access book serves as a comprehensive resource on the Sine Cosine Algorithm (SCA) and its applications, highlighting its simplicity, usability, and potential as a powerful metaheuristic algorithm. With its wide range of applications in fields such as machine learning, engineering design, wireless sensor networks, and environmental modeling, SCA has gained widespread acceptance among researchers due to its easy implementation and robust optimization capabilities.
Format: Paperback / softback
Length: 108 pages
Publication date: 31 January 2023
Publisher: Springer Verlag, Singapore
This open-access book serves as a comprehensive resource on the sine cosine algorithm (SCA) and a solid foundation for advancing and developing SCA and its applications. SCA stands out as a straightforward, user-friendly, and highly promising candidate in the realm of metaheuristics algorithms. Despite its relatively recent emergence, SCA has gained widespread acceptance among researchers due to its ease of implementation and remarkable optimization capabilities. Its effectiveness and advantages have been extensively demonstrated across a diverse range of applications, spanning from machine learning and engineering design to wireless sensor networks and environmental modeling. The book offers a thorough exploration of the SCA, encompassing its underlying concepts, modified versions, diverse applications, and a functional MATLAB code for implementing the basic SCA.
This open-access book serves as a comprehensive resource on the sine cosine algorithm (SCA) and a solid foundation for advancing and developing SCA and its applications. SCA stands out as a straightforward, user-friendly, and highly promising candidate in the realm of metaheuristics algorithms. Despite its relatively recent emergence, SCA has gained widespread acceptance among researchers due to its ease of implementation and remarkable optimization capabilities. Its effectiveness and advantages have been extensively demonstrated across a diverse range of applications, spanning from machine learning and engineering design to wireless sensor networks and environmental modeling. The book offers a thorough exploration of the SCA, encompassing its underlying concepts, modified versions, diverse applications, and a functional MATLAB code for implementing the basic SCA.
Weight: 197g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811997211
Edition number: 1st ed. 2023
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