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EUROGP
2005
Springer
122views Optimization» more  EUROGP 2005»
15 years 2 months ago
Evolution of Robot Controller Using Cartesian Genetic Programming
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
Simon Harding, Julian F. Miller
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 2 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
79
Voted
ECAL
2007
Springer
15 years 1 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
CEC
2009
IEEE
15 years 1 months ago
Reverse-engineering of artificially evolved controllers for swarms of robots
It is generally challenging to design decentralized controllers for swarms of robots because there is often no obvious relation between the individual robot behaviors and the final...
Sabine Hauert, Jean-Christophe Zufferey, Dario Flo...
91
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 3 months ago
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
Claudio Rossi, Antonio Barrientos, Jaime del Cerro