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» Optimization via Parameter Mapping with Genetic Programming
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EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
13 years 9 months ago
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...
Nguyen Quang Uy, Nguyen Thi Hien, Nguyen Xuan Hoai...
EUROGP
2008
Springer
13 years 10 months ago
Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution
Many automatically-synthesized programs have, like their hand-made counterparts, numerical parameters that need to be set properly before they can show an acceptable performance. H...
Marco Antonio Montes de Oca
JEI
2006
162views more  JEI 2006»
13 years 8 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 2 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
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
14 years 2 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood