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141
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EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
15 years 10 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
114
Voted
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
15 years 10 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
136
Voted
WCRE
2006
IEEE
15 years 9 months ago
How Programs Represent Reality (and how they don't)
Programming is modeling the reality. Most of the times, the mapping between source code and the real world concepts is captured implicitly in the names of identifiers. Making the...
Daniel Ratiu, Florian Deissenboeck
126
Voted
ARCS
2004
Springer
15 years 9 months ago
A Comparison of Parallel Programming Models of Network Processors
: Today’s network processor utilize parallel processing in order to cope with the traffic growth and wire-speed of current and future network technologies. In this paper, we stu...
Carsten Albrecht, Rainer Hagenau, Erik Maehle, And...
132
Voted
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 9 months ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...