602 search results - page 24 / 121 » Unsupervised Problem Decomposition Using Genetic Programming |
EUROGP
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
EVOW
1994
Springer
15 years 1 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
JASIS
2000
14 years 9 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...