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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 18 days ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
16 years 18 days ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
SPAA
2009
ACM
16 years 7 months ago
An optimal local approximation algorithm for max-min linear programs
In a max-min LP, the objective is to maximise subject to Ax 1, Cx 1, and x 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorith...
Patrik Floréen, Joel Kaasinen, Petteri Kask...
GECCO
2000
Springer
15 years 10 months ago
Genetic Programming within a Framework of Computer-Aided Discovery of Scientific Knowledge
Present day instrumentation networks already provide immense quantities of data, very little of which provides any insights into the basic physical phenomena that are occurring in...
Maarten Keijzer, Vladan Babovic
FLAIRS
2006
15 years 7 months ago
Using Enhanced Concept Map for Student Modeling in Programming Tutors
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...
Amruth N. Kumar