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» A framework for the description of evolutionary algorithms
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134
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CEC
2008
IEEE
15 years 10 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
129
Voted
AE
2003
Springer
15 years 8 months ago
From Royal Road to Epistatic Road for Variable Length Evolution Algorithm
Although there are some real world applications where the use of variable length representation (VLR) in Evolutionary Algorithm is natural and suitable, an academic framework is la...
Michael Defoin-Platel, Sébastien Vér...
135
Voted
ICIP
2003
IEEE
15 years 8 months ago
A general framework for designing image processing algorithms for coherent polarimetric images
We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting ...
François Goudail, Frédéric Ga...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
EVOW
2001
Springer
15 years 8 months ago
ARPIA: A High-Level Evolutionary Test Signal Generator
The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective faul...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...