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JUCS
2006
112views more  JUCS 2006»
13 years 8 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 2 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
14 years 12 days 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
EAAI
2008
106views more  EAAI 2008»
13 years 8 months 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
FOGA
2011
13 years 7 days ago
Approximating the distribution of fitness over hamming regions
The distribution of fitness values across a set of states sharply influences the dynamics of evolutionary processes and heuristic search in combinatorial optimization. In this p...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe