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Sine cosine algorithm for optimization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sine cosine algorithm for optimizationby Jagdish Chand Bansal ... [et al.].
其他作者:	Bansal, Jagdish Chand.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	x, 108 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Metaheuristics.
電子資源:	https://doi.org/10.1007/978-981-19-9722-8
ISBN:	9789811997228$q(electronic bk.)

Sine cosine algorithm for optimization
Sine cosine algorithm for optimization[electronic resource] /by Jagdish Chand Bansal ... [et al.]. - Singapore :Springer Nature Singapore :2023. - x, 108 p. :ill. (chiefly color), digital ;24 cm. - SpringerBriefs in applied sciences and technology. Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

Introduction -- Sine Cosine Algorithm -- Sine Cosine Algorithm for Multi-Objective Optimization -- Sine Cosine Algorithm for Discrete Optimization Problems -- Advancements in the Sine Cosine Algorithm -- Conclusion and Further Research Directions.

Open access.

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.

ISBN: 9789811997228$q(electronic bk.)

Standard No.: 10.1007/978-981-19-9722-8doiSubjects--Topical Terms:

757062
Metaheuristics.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.13

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505 0 $a Introduction -- Sine Cosine Algorithm -- Sine Cosine Algorithm for Multi-Objective Optimization -- Sine Cosine Algorithm for Discrete Optimization Problems -- Advancements in the Sine Cosine Algorithm -- Conclusion and Further Research Directions.
506 $a Open access.
520 $a 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.
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