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Books > Computing & IT > Applications of computing > Artificial intelligence
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Metaheuristics for Dynamic Optimization (Hardcover, 2013 ed.)
Loot Price: R4,298
Discovery Miles 42 980
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Metaheuristics for Dynamic Optimization (Hardcover, 2013 ed.)
Series: Studies in Computational Intelligence, 433
Expected to ship within 10 - 15 working days
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Total price: R4,318
Discovery Miles: 43 180
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This book is an updated effort in summarizing the trending topics
and new hot research lines in solving dynamic problems using
metaheuristics. An analysis of the present state in solving complex
problems quickly draws a clear picture: problems that change in
time, having noise and uncertainties in their definition are
becoming very important. The tools to face these problems are still
to be built, since existing techniques are either slow or
inefficient in tracking the many global optima that those problems
are presenting to the solver technique. Thus, this book is devoted
to include several of the most important advances in solving
dynamic problems. Metaheuristics are the more popular tools to this
end, and then we can find in the book how to best use genetic
algorithms, particle swarm, ant colonies, immune systems, variable
neighborhood search, and many other bioinspired techniques. Also,
neural network solutions are considered in this book. Both, theory
and practice have been addressed in the chapters of the book.
Mathematical background and methodological tools in solving this
new class of problems and applications are included. From the
applications point of view, not just academic benchmarks are dealt
with, but also real world applications in logistics and
bioinformatics are discussed here. The book then covers theory and
practice, as well as discrete versus continuous dynamic
optimization, in the aim of creating a fresh and comprehensive
volume. This book is targeted to either beginners and experienced
practitioners in dynamic optimization, since we took care of
devising the chapters in a way that a wide audience could profit
from its contents. We hope to offer a single source for up-to-date
information in dynamic optimization, an inspiring and attractive
new research domain that appeared in these last years and is here
to stay.
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