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GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 2 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight
CEC
2007
IEEE
14 years 1 months ago
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
I. Carnelli, B. Dachwald, M. Vasile
CEC
2005
IEEE
14 years 2 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»
13 years 9 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»
13 years 10 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