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137
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IFIP
2001
Springer
15 years 7 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
156
Voted
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 3 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
130
Voted
ESANN
2006
15 years 4 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
115
Voted
GECCO
2004
Springer
15 years 8 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
SIGADA
2004
Springer
15 years 8 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville