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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
15 years 7 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
15 years 7 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
15 years 5 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
BMCBI
2008
151views more  BMCBI 2008»
15 years 2 months ago
Application of the Linux cluster for exhaustive window haplotype analysis using the FBAT and Unphased programs
Background: Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes...
Hiroyuki Mishima, Andrew C. Lidral, Jun Ni
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 7 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell