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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 7 months ago
Benchmarking the NEWUOA on the BBOB-2009 function testbed
The NEWUOA which belongs to the class of Derivative-Free optimization algorithms is benchmarked on the BBOB-2009 noisefree testbed. A multistart strategy is applied with a maximum...
Raymond Ros
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 6 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
BMCBI
2010
185views more  BMCBI 2010»
14 years 10 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
JCP
2007
108views more  JCP 2007»
15 years 3 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
ICC
2008
IEEE
117views Communications» more  ICC 2008»
15 years 9 months ago
Proactive Power Optimization of Sensor Networks
—We propose a reduced-complexity genetic algorithm for dynamic deployment of resource constrained multi-hop mobile sensor networks. The goal of this paper is to achieve optimal c...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen