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AIEDAM
2008
127views more  AIEDAM 2008»
13 years 8 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
DAGSTUHL
2006
13 years 9 months ago
On Complexity of Optimized Crossover for Binary Representations
We consider the computational complexity of producing the best possible offspring in a crossover, given two solutions of the parents. The crossover operators are studied on the cla...
Anton V. Eremeev
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 2 months ago
Hierarchical genetic programming based on test input subsets
Crucial to the more widespread use of evolutionary computation techniques is the ability to scale up to handle complex problems. In the field of genetic programming, a number of d...
David Jackson
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 2 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
14 years 1 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker