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GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 2 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 4 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 4 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 4 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 4 months ago
Estimation of fitness landscape contours in EAs
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
Petr Posík, Vojtech Franc