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Books > Computing & IT > Applications of computing > Artificial intelligence
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Brain Storm Optimization Algorithms - Concepts, Principles and Applications (Hardcover, 1st ed. 2019)
Loot Price: R2,910
Discovery Miles 29 100
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Brain Storm Optimization Algorithms - Concepts, Principles and Applications (Hardcover, 1st ed. 2019)
Series: Adaptation, Learning, and Optimization, 23
Expected to ship within 10 - 15 working days
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Brain Storm Optimization (BSO) algorithms are a new kind of swarm
intelligence method, which is based on the collective behavior of
human beings, i.e., on the brainstorming process. Since the
introduction of BSO algorithms in 2011, many studies on them have
been conducted. They not only offer an optimization method, but
could also be viewed as a framework of optimization techniques. The
process employed in the algorithms could be simplified as a
framework with two basic operations: the converging operation and
the diverging operation. A "good enough" optimum could be obtained
through recursive solution divergence and convergence. The
resulting optimization algorithm would naturally have the
capability of both convergence and divergence. This book is
primarily intended for researchers, engineers, and graduate
students with an interest in BSO algorithms and their applications.
The chapters cover various aspects of BSO algorithms, and
collectively provide broad insights into what these algorithms have
to offer. The book is ideally suited as a graduate-level textbook,
whereby students may be tasked with the study of the rich variants
of BSO algorithms that involves a hands-on implementation to
demonstrate the utility and applicability of BSO algorithms in
solving optimization problems.
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