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» An Evolutionary Algorithm for Integer Programming
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EUROGP
2003
Springer
101views Optimization» more  EUROGP 2003»
15 years 9 months ago
An Enhanced Framework for Microprocessor Test-Program Generation
Test programs are fragment of code, but, unlike ordinary application programs, they are not intended to solve a problem, nor to calculate a function. Instead, they are supposed to ...
Fulvio Corno, Giovanni Squillero
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 10 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 8 months 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
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 10 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
EUROGP
2005
Springer
15 years 10 months ago
Understanding Evolved Genetic Programs for a Real World Object Detection Problem
We describe an approach to understanding evolved programs for a real world object detection problem, that of finding orthodontic landmarks in cranio-facial X-Rays. The approach in...
Victor Ciesielski, Andrew Innes, Sabu John, John M...