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ESCIENCE
2007
IEEE
15 years 6 months ago
Grid-Enabling an Efficient Algorithm for Demanding Global Optimization Problems in Genetic Analysis
Abstract. We study the implementation on grid systems of an efficient algorithm for demanding global optimization problems. Specifically, we consider problems arising in the geneti...
Mahen Jayawardena, Sverker Holmgren
CEC
2010
IEEE
15 years 3 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 7 months ago
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm
The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have ...
Emma Carter, Steve Ebdon, Clive Neal-Sturgess
JMLR
2006
103views more  JMLR 2006»
15 years 2 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
BMCBI
2008
107views more  BMCBI 2008»
15 years 2 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....