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Sine Cosine Algorithm for Optimization

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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 metaheu...

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Bibliographic Details
Main Author: Bansal, Jagdish Chand (auth)
Other Authors: Bajpai, Prathu (auth), Rawat, Anjali (auth), Nagar, Atulya K. (auth)
Format: Electronic Book Chapter
Language:English
Published: Singapore Springer Nature 2023
Series:SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
Subjects:
Artificial intelligence
Optimization
Numerical analysis
Sine Cosine Algorithms
Meta-heuristics
Numerical Optimization
Soft Computing
Numerical Experiments
Online Access:DOAB: download the publication
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Summary: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.
Physical Description:1 electronic resource (108 p.)
ISBN:978-981-19-9722-8
9789811997228
Access:Open Access

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