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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 11 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 11 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2009
Springer
305views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolving competitive car controllers for racing games with neuroevolution
Modern computer games are at the same time an attractive application domain and an interesting testbed for the evolutionary computation techniques. In this paper we apply NeuroEvo...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
125
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PRIMA
2009
Springer
15 years 11 months ago
An Empirical Study of Agent Programs
Agent-oriented programming has been motivated in part by the conception that high-level programming constructs based on common tions such as beliefs and goals provide appropriate a...
M. Birna van Riemsdijk, Koen V. Hindriks
SARA
2009
Springer
15 years 11 months ago
Common Subexpressions in Constraint Models of Planning Problems
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...