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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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Paperback
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