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» An evolutionary method for complex-process optimization
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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 5 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 4 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
91
Voted
EAAI
2008
106views more  EAAI 2008»
15 years 16 days ago
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design
This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
Peter Korosec, Jurij Silc
EC
2008
175views ECommerce» more  EC 2008»
15 years 16 days ago
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired oper...
Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
138
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SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 11 days ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein