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ISSTA
2004
ACM
14 years 3 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 10 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 3 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
14 years 3 months ago
The Push3 execution stack and the evolution of control
The Push programming language was developed for use in genetic and evolutionary computation systems, as the representation within which evolving programs are expressed. It has bee...
Lee Spector, Jon Klein, Maarten Keijzer
CEC
2010
IEEE
13 years 11 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman