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Metaheuristic Computation with MATLAB (R) (Paperback)
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Metaheuristic Computation with MATLAB (R) (Paperback)
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Metaheuristic algorithms are considered as generic optimization
tools that can solve very complex problems characterized by having
very large search spaces. Metaheuristic methods reduce the
effective size of the search space through the use of effective
search strategies. Book Features: Provides a unified view of the
most popular metaheuristic methods currently in use Includes the
necessary concepts to enable readers to implement and modify
already known metaheuristic methods to solve problems Covers design
aspects and implementation in MATLAB (R) Contains numerous examples
of problems and solutions that demonstrate the power of these
methods of optimization The material has been written from a
teaching perspective and, for this reason, this book is primarily
intended for undergraduate and postgraduate students of artificial
intelligence, metaheuristic methods, and/or evolutionary
computation. The objective is to bridge the gap between
metaheuristic techniques and complex optimization problems that
profit from the convenient properties of metaheuristic approaches.
Therefore, engineer practitioners who are not familiar with
metaheuristic computation will appreciate that the techniques
discussed are beyond simple theoretical tools, since they have been
adapted to solve significant problems that commonly arise in such
areas.
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