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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Swarm Intelligence Algorithms - Modifications and Applications (Paperback)
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Swarm Intelligence Algorithms - Modifications and Applications (Paperback)
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Nature-based algorithms play an important role among artificial
intelligence algorithms. Among them are global optimization
algorithms called swarm intelligence algorithms. These algorithms
that use the behavior of simple agents and various ways of
cooperation between them, are used to solve specific problems that
are defined by the so-called objective function. Swarm intelligence
algorithms are inspired by the social behavior of various animal
species, e.g. ant colonies, bird flocks, bee swarms, schools of
fish, etc. The family of these algorithms is very large and
additionally includes various types of modifications to enable
swarm intelligence algorithms to solve problems dealing with areas
other than those for which they were originally developed. This
book presents 24 swarm algorithms together with their modifications
and practical applications. Each chapter is devoted to one
algorithm. It contains a short description along with a pseudo-code
showing the various stages of its operation. In addition, each
chapter contains a description of selected modifications of the
algorithm and shows how it can be used to solve a selected
practical problem. This book should also be useful for
undergraduate and postgraduate students studying nature-based
optimization algorithms, and can be a helpful tool for learning
these algorithms, along with their modifications and practical
applications. In addition, it can be a useful source of knowledge
for scientists working in the field of artificial intelligence, as
well as for engineers interested in using this type of algorithms
in their work. If the reader wishes to expand his knowledge beyond
the basics of swarm intelligence algorithms presented in this book
and is interested in more detailed information, we recommend the
book "Swarm Intelligence Algorithms: A Tutorial" (Edited by A.
Slowik, CRC Press, 2020). It contains a detailed explanation of how
each algorithm works, along with relevant program codes in Matlab
and the C ++ programming language, as well as numerical examples
illustrating step-by-step how individual algorithms work.
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