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Multidimensional particle swarm optimization for machine learning and pattern recognition
For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2013
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-37846-1 http://cds.cern.ch/record/1620167 |