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145
Voted
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
80
Voted
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
75
Voted
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
97
Voted
GECCO
2007
Springer
15 years 2 months ago
2007
Springer
Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulae on the program variables. Most model checke...