1.

Record Nr.

UNINA9910645978903321

Autore

Bansal Jagdish Chand

Titolo

Sine Cosine Algorithm for Optimization / / by Jagdish Chand Bansal, Prathu Bajpai, Anjali Rawat, Atulya K. Nagar

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

981-19-9722-5

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (114 pages)

Collana

SpringerBriefs in Computational Intelligence, , 2625-3712

Classificazione

COM051300MAT003000TEC009000

Altri autori (Persone)

BajpaiPrathu

RawatAnjali

NagarAtulya K

Disciplina

006.3

Soggetti

Computational intelligence

Mathematical optimization

Algorithms

Computational Intelligence

Optimization

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.