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» On the Brittleness of Evolutionary Algorithms
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PRL
2007
180views more  PRL 2007»
14 years 9 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
BMCBI
2011
14 years 4 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
NAR
2011
199views Computer Vision» more  NAR 2011»
14 years 25 days ago
RepTar: a database of predicted cellular targets of host and viral miRNAs
Computational identification of putative microRNA (miRNA) targets is an important step towards elucidating miRNA functions. Several miRNA target-prediction algorithms have been de...
Naama Elefant, Amnon Berger, Harel Shein, Matan Ho...
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
15 years 4 months ago
Optimal nesting of species for exact cover of resources: two against many
The application of resource-defined fitness sharing (RFS) to shape nesting problems reveals a remarkable ability to discover tilings [7, 8]. These tilings represent exact covers...
Jeffrey Horn
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 4 months ago
The second harmonic generation case-study as a gateway for es to quantum control problems
The Second Harmonic Generation (SHG), a process that turns out to be a good test case in the physics lab, can also be considered as a fairly simple theoretical test function for g...
Ofer M. Shir, Thomas Bäck