Εξώφυλλο

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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Κύριοι συγγραφείς: Bansal, Jagdish Chand, Bajpai, Prathu, Rawat, Anjali, Nagar, Atulya K.
Μορφή: Online
Γλώσσα:Αγγλικά
Έκδοση: Springer Nature 2023
Θέματα:
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
Διαθέσιμο Online:ONIX_20230213_9789811997228_63
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Περίληψη: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.

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