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» Evolving heuristics with genetic programming
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
14 years 4 months ago
The Induction of Finite Transducers Using Genetic Programming
This paper reports on the results of a preliminary study conducted to evaluate genetic programming (GP) as a means of evolving finite state transducers. A genetic programming syste...
Amashini Naidoo, Nelishia Pillay
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
14 years 1 months ago
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...
GECCO
1999
Springer
14 years 2 months ago
Evolution by Means of Genetic Programming of Analog Circuits that Perform Digital Functions
This paper demonstrates the ability of genetic programming to evolve analog circuits that perform digital functions and mixed analog-digital circuits. The evolved circuits include...
Forrest H. Bennett III, John R. Koza, Martin A. Ke...
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 1 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean