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Metaheuristic Computation with MATLAB® - Erik Cuevas

Metaheuristic Computation with MATLAB®

By: Erik Cuevas, Alma Rodriguez

eText | 14 September 2020 | Edition Number 1

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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®
  • 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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Non-FictionComputing & I.T.Computer ScienceSystems Analysis & DesignComputer Programming & Software DevelopmentAlgorithms & Data StructuresDigital Lifestyle & Online World: Consumer & User GuidesComputer Games & Online Games Strategy GuidesArtificial IntelligenceNeural Networks & Fuzzy SystemsMathematicsEngineering & Technology
Electronics & Communications EngineeringElectronics EngineeringAutomatic Control Engineering

Other Editions and Formats

Paperback

Published: 6th May 2022

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