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155
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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 9 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
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
15 years 7 months ago
An evolutionary approach to camera-based projector calibration
In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
Clayton Matthew Johnson, Anu Bhat, William C. Thib...
129
Voted
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 10 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
CEC
2005
IEEE
15 years 9 months ago
The fitness map scheme: application to interactive multifractal image denoising
AbstractInteractive evolutionary algorithms (IEA) often suffer from what is called the “user bottleneck.” In this paper, we propose and analyse a method to limit the user inter...
Evelyne Lutton, Mario Pilz, Jacques Lévy V&...
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean