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» Comparative analysis of genetic algorithm implementations
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SEAL
2010
Springer
13 years 5 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 8 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...
BMCBI
2004
122views more  BMCBI 2004»
13 years 7 months ago
A comprehensive comparison of comparative RNA structure prediction approaches
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Paul P. Gardner, Robert Giegerich
RECOMB
2003
Springer
14 years 7 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
CEC
2008
IEEE
14 years 2 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira