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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
16 years 10 days 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 10 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...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 1 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
16 years 17 days 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»
16 years 14 days 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