83 search results - page 5 / 17 » Probabilistic model-building genetic algorithms |
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
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CSB
2003
IEEE
15 years 3 months ago
2003
IEEE
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
RECOMB
2003
Springer
15 years 10 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...