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Sine cosine algorithm for optimization

Bansal, Jagdish Chand.

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Sine cosine algorithm for optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sine cosine algorithm for optimization/ by Jagdish Chand Bansal ... [et al.].
other author:	Bansal, Jagdish Chand.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	x, 108 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Metaheuristics. -
Online resource:	https://doi.org/10.1007/978-981-19-9722-8
ISBN:	9789811997228

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

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

2206834
Metaheuristics.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.13

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245 0 0 $a Sine cosine algorithm for optimization $h [electronic resource] / $c by Jagdish Chand Bansal ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a x, 108 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology. Computational intelligence
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.
650 0 $a Metaheuristics. $3 2206834
650 0 $a Mathematical optimization. $3 517763
650 0 $a Computer programming. $3 527209
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Optimization. $3 891104
650 2 4 $a Algorithms. $3 536374
700 1 $a Bansal, Jagdish Chand. $3 3378378
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830 0 $a SpringerBriefs in applied sciences and technology. $p Computational intelligence. $3 2054423
856 4 0 $u https://doi.org/10.1007/978-981-19-9722-8
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)