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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 15 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 1 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
ETRA
2000
ACM
120views Biometrics» more  ETRA 2000»
13 years 11 months ago
An interactive model-based environment for eye-movement protocol analysis and visualization
This paper describes EyeTracer, an interactive environment for manipulating, viewing, and analyzing eye-movement protocols. EyeTracer augments the typical functionality of such sy...
Dario D. Salvucci
EC
2010
157views ECommerce» more  EC 2010»
13 years 7 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...