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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 7 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
15 years 7 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
IPPS
2008
IEEE
16 years 11 days ago
Providing flow based performance guarantees for buffered crossbar switches
Buffered crossbar switches are a special type of combined input-output queued switches with each crosspoint of the crossbar having small on-chip buffers. The introduction of cross...
Deng Pan, Yuanyuan Yang
CEC
2009
IEEE
16 years 21 days ago
Evolving novel image features using Genetic Programming-based image transforms
— In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of tr...
Taras Kowaliw, Wolfgang Banzhaf, Nawwaf N. Kharma,...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
16 years 3 days ago
Best SubTree genetic programming
The result of the program encoded into a Genetic Programming (GP) tree is usually returned by the root of that tree. However, this is not a general strategy. In this paper we pres...
Oana Muntean, Laura Diosan, Mihai Oltean