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

• Autore: Bansal Jagdish Chand
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (114 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Mathematical optimization; Algorithms; Computational Intelligence; Optimization
• Altri autori: BajpaiPrathu RawatAnjali NagarAtulya K
• 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.
• Titolo autorizzato: Sine Cosine Algorithm for Optimization
• ISBN: 981-19-9722-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910645978903321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computational Intelligence, . 2625-3712