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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
15 years 10 months ago
Maximally rugged NK landscapes contain the highest peaks
NK models provide a family of tunably rugged fitness landscapes used in a wide range of evolutionary computation studies. It is well known that the average height of local optima...
Benjamin Skellett, Benjamin Cairns, Nicholas Geard...
133
Voted
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 10 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 10 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
128
Voted
ICALP
2005
Springer
15 years 10 months ago
On the Wake-Up Problem in Radio Networks
Abstract. Radio networks model wireless communication when processing units communicate using one wave frequency. This is captured by the property that multiple messages arriving s...
Bogdan S. Chlebus, Leszek Gasieniec, Dariusz R. Ko...
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