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» Evolving hash functions by means of genetic programming
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CEC
2007
IEEE
14 years 23 days ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
CEC
2010
IEEE
13 years 10 months ago
Using aesthetic measures to evolve art
In this paper we investigate and compare three aesthetic measures within the context of evolutionary art. We evolve visual art with an unsupervised evolutionary art system using ge...
Eelco den Heijer, A. E. Eiben
CEC
2008
IEEE
14 years 3 months ago
On the generality of the evolved driving rules of an agent operating a model of a car
—We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is ...
Hirotaka Yamazaki, Ivan Tanev, Tomoyuki Hiroyasu, ...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
14 years 13 days ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
14 years 13 days ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener