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» Programming Methodologies in GCLA
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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 1 months ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
13 years 5 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
ICPR
2008
IEEE
14 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
HICSS
2000
IEEE
153views Biometrics» more  HICSS 2000»
14 years 1 days ago
On Verifying Distributed Multithreaded Java Programs
Distributed multithreaded software systems are becoming more and more important in modern networked environment. For these systems, concurrency control and thread synchronization ...
Jessica Chen