Computational Intelligence in Optimization: Applications and Implementations

Authors:
Yoel Tenne;Chi-Keong Goh
Affiliations:
-;-
Venue:
Computational Intelligence in Optimization: Applications and Implementations
Year:
2010

Citing 0
Cited 4

Robust gaussian process-based global optimization using a fully bayesian expected improvement criterion

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Optimized distance metrics for differential evolution based nearest prototype classifier

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Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification

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Differential evolution based nearest prototype classifier with optimized distance measures for the features in the data sets

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Abstract

This volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications.