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» An Introduction to Evolutionary Programming
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CVPR
2003
IEEE
15 years 2 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
CEC
2007
IEEE
15 years 1 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
15 years 1 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
ASAP
2004
IEEE
124views Hardware» more  ASAP 2004»
15 years 1 months ago
Biosequence Similarity Search on the Mercury System
Biosequence similarity search is an important application in modern molecular biology. Search algorithms aim to identify sets of sequences whose extensional similarity suggests a c...
Praveen Krishnamurthy, Jeremy Buhler, Roger D. Cha...
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 1 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean