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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 10 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
PPSN
1998
Springer
13 years 12 months ago
Parallel Evolutionary Optimisation with Constraint Propagation
Abstract. This paper describes a parallel model for a distributed memory architecture of a non traditional evolutionary computation method, which integrates constraint propagation ...
Alvaro Ruiz-Andino, Lourdes Araujo, José J....
AIEDAM
2008
157views more  AIEDAM 2008»
13 years 7 months ago
Evolutionary synthesis of kinematic mechanisms
This paper discusses the application of genetic programming to the synthesis of compound two-dimensional kinematic mechanisms, and benchmarks the results against one of the classi...
Hod Lipson
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
13 years 11 months ago
The reliability of confidence intervals for computational effort comparisons
This paper analyses the reliability of confidence intervals for Koza's computational effort statistic. First, we conclude that dependence between the observed minimum generat...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 8 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay