Sciweavers

GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 5 months ago
A differential evolution algorithm for optimizing signal compression and reconstruction transforms
State-of-the-art image compression and reconstruction techniques utilize wavelets. Beginning in 2004, however, a team of researchers at Wright-Patterson Air Force Base (WPAFB), the...
Frank W. Moore, Brendan J. Babb
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 5 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 5 months ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...
GECCO
2008
Springer
106views Optimization» more  GECCO 2008»
13 years 5 months ago
Gecco 2008 grammatical evolution tutorial
R. Muhammad Atif Azad, Conor Ryan
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 5 months ago
Supply chain management sales using XCSR
The Trading Agent Competition in its category Supply Chain Management (TAC SCM) is an international forum where teams construct agents that control a computer assembly company in ...
María A. Franco, Ivette C. Martínez,...
GECCO
2008
Springer
193views Optimization» more  GECCO 2008»
13 years 5 months ago
Multiobjective optimization of a stent in a fluid-structure context
A stent device is a permanent metallic implant currently used to prop open arteries blocked with atherosclerotic plaques. Many classes of stents are available and mainly differ b...
Adel Blouza, Laurent Dumas, Ibrahima M'Baye
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 5 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 5 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 5 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 5 months ago
Recursive least squares and quadratic prediction in continuous multistep problems
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
Daniele Loiacono, Pier Luca Lanzi