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» Hybrid Optimizations: Which Optimization Algorithm to Use
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167
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TEC
2008
146views more  TEC 2008»
15 years 4 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
IPPS
2003
IEEE
15 years 10 months ago
Parallel Heterogeneous Genetic Algorithms for Continuous Optimization
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) known as gradual distributed real-coded GA (GD-RCGA). This search model naturally...
Enrique Alba, Francisco Luna, Antonio J. Nebro
AUSAI
2009
Springer
15 years 8 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
151
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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 6 months ago
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
State-of-the-art image compression and reconstruction techniques utilize wavelets. Beginning in 2004, however, a team of researchers at Wright-Patterson Air Force Base (WPAFB), the...
Frank W. Moore, Brendan J. Babb
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
15 years 6 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal