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» Automatic Programming of Robots Using Genetic Programming
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GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
15 years 6 months ago
Evolving a behavior-based control architecture- From simulations to the real world
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
Marc Ebner, Andreas Zell
EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
15 years 5 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
CEC
2008
IEEE
15 years 8 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 7 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
130
Voted
GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
15 years 8 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper