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105
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 5 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
CASES
2006
ACM
15 years 8 months ago
Methods for power optimization in distributed embedded systems with real-time requirements
Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducing energy consumption in CMOS circuits. Though plenty of research papers have st...
Razvan Racu, Arne Hamann, Rolf Ernst, Bren Mochock...
97
Voted
CEC
2005
IEEE
15 years 7 months ago
A new representation in evolutionary algorithms for the optimization of bioprocesses
AbstractEvolutionary Algorithms (EAs) have been used to achieve optimal feedforward control in a number of fedbatch fermentation processes. Typically, the optimization purpose is t...
Miguel Rocha, Isabel Rocha, Eugénio C. Ferr...
TEC
2008
146views more  TEC 2008»
15 years 2 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
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
15 years 3 months ago
A novel methodology for diversity preservation in evolutionary algorithms
In this paper we describe an improvement of an entropy-based diversity preservation approach for evolutionary algorithms. This approach exploits the information contained not only...
Giovanni Squillero, Alberto Paolo Tonda