Sine Cosine Algorithm for Optimization

Bansal, Jagdish Chand; Bajpai, Prathu; Rawat, Anjali; Nagar, Atulya K.

doi:10.1007/978-981-19-9722-8

Download Url(s)

https://library.oapen.org/bitstream/20.500.12657/61329/1/978-981-19-9722-8.pdf
---
https://library.oapen.org/bitstream/20.500.12657/61329/1/978-981-19-9722-8.pdf
---
https://library.oapen.org/bitstream/20.500.12657/61329/1/978-981-19-9722-8.pdf

Author(s)

Bansal, Jagdish Chand

Bajpai, Prathu

Rawat, Anjali

Nagar, Atulya K.

Language

English

Show full item record

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.

URI

https://directory.doabooks.org/handle/20.500.12854/97788

Keywords

Sine Cosine Algorithms; Meta-heuristics; Numerical Optimization; Soft Computing; Numerical Experiments; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis