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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 3 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
PRL
2006
95views more  PRL 2006»
13 years 10 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin
SIGSOFT
2006
ACM
14 years 10 months ago
Finding failure-inducing changes in java programs using change classification
Testing and code editing are interleaved activities during program development. When tests fail unexpectedly, the changes that caused the failure(s) are not always easy to find. W...
Barbara G. Ryder, Frank Tip, Maximilian Störz...
EUROGP
2000
Springer
115views Optimization» more  EUROGP 2000»
14 years 1 months ago
Evolution of a Controller with a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the fa...
John R. Koza, Jessen Yu, Martin A. Keane, William ...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 3 months ago
Automated re-invention of six patented optical lens systems using genetic programming
This paper describes how genetic programming was used as an invention machine to automatically synthesize complete designs for six optical lens systems that duplicated the functio...
John R. Koza, Sameer H. Al-Sakran, Lee W. Jones