Sine cosine algorithm for optimization / Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar.
Bansal, Jagdish Chand. author.; Bajpai, Prathu, author.; Rawat, Anjali, author.; Nagar, Atulya K., author.
2023
QA76.9.A43
Available Online

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Title Sine cosine algorithm for optimization / Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar.
Author Bansal, Jagdish Chand. author.
ISBN 9811997225 (electronic bk.)
9789811997228 (electronic bk.)
DOI https://doi.org/10.1007/978-981-19-9722-8
Publication Details Singapore : Springer, 2023.
Language English
Description 1 online resource (x, 108 pages) : illustrations (chiefly color).
Item Number 10.1007/978-981-19-9722-8 doi
Call Number QA76.9.A43
Dewey Decimal Classification 005.13
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Open access
Source of Description Description based on print version record.
Added Author Bajpai, Prathu, author.
Rawat, Anjali, author.
Nagar, Atulya K., author.
Series SpringerBriefs in applied sciences and technology. Computational intelligence. 2625-3712
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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.

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