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» A parameter-less genetic algorithm
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GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
15 years 10 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
PPSN
2004
Springer
15 years 9 months ago
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
Arne Koopman, Daniel Roggen
156
Voted
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 9 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
ICGA
1993
145views Optimization» more  ICGA 1993»
15 years 5 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
114
Voted
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 9 months ago
Object-level recombination of commodity applications
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
Blair Foster, Anil Somayaji