Bansal, Jagdish Chand and Bajpai, Prathu and Rawat, Anjali and Nagar, Atulya K. (2023) Sine Cosine Algorithm for Optimization. Other. Springer.
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Abstract
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.
| Item Type: | Monograph (Other) |
|---|---|
| Additional Information and Comments: | © The Author(s) 2023. This book is an open access publication. This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s). |
| Keywords: | Open Access, Sine Cosine Algorithms, Meta-heuristics, Numerical Optimization, Soft Computing, Numerical Experiments |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Atulya Nagar |
| Date Deposited: | 14 Mar 2023 10:32 |
| Last Modified: | 14 Mar 2023 10:32 |
| URI: | https://hira.hope.ac.uk/id/eprint/3781 |
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