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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 1 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
EVOW
2003
Springer
14 years 24 days ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
13 years 8 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...
GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
13 years 12 months ago
Evolving a behavior-based control architecture- From simulations to the real world
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
Marc Ebner, Andreas Zell
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
13 years 11 months ago
A Honeycomb Development Architecture for Robust Fault-Tolerant Design
A new hardware developmental model that shows strong robust transient fault-tolerant abilities and is motivated by embryonic development and a honeycomb structure is presented. Ca...
Andy M. Tyrrell, Hong Sun