602 search results - page 11 / 121 » Unsupervised Problem Decomposition Using Genetic Programming |
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
AIEDAM
2008
13 years 10 months ago
2008
We demonstrate the use of genetic programming in the automatic invention of quantum computing circuits that solve problems of potential theoretical and practical significance. We ...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...