Sine Cosine Algorithm for Optimization
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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| Diğer Yazarlar: | , , |
| Materyal Türü: | Elektronik Kitap Bölümü |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Singapore
Springer Nature
2023
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| Seri Bilgileri: | SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
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| Konular: | |
| Online Erişim: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 020 | |a 9789811997228 | ||
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| 100 | 1 | |a Bansal, Jagdish Chand |4 auth | |
| 700 | 1 | |a Bajpai, Prathu |4 auth | |
| 700 | 1 | |a Rawat, Anjali |4 auth | |
| 700 | 1 | |a Nagar, Atulya K. |4 auth | |
| 245 | 1 | 0 | |a Sine Cosine Algorithm for Optimization |
| 260 | |a Singapore |b Springer Nature |c 2023 | ||
| 300 | |a 1 electronic resource (108 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online 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. | ||
| 540 | |a Creative Commons |f by/4.0/ |2 cc |4 http://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Artificial intelligence |2 bicssc | |
| 650 | 7 | |a Optimization |2 bicssc | |
| 650 | 7 | |a Numerical analysis |2 bicssc | |
| 653 | |a Sine Cosine Algorithms | ||
| 653 | |a Meta-heuristics | ||
| 653 | |a Numerical Optimization | ||
| 653 | |a Soft Computing | ||
| 653 | |a Numerical Experiments | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/61329 |7 0 |z OAPEN Library: description of the publication |