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CIBCB
2008
IEEE
14 years 2 months ago
Parallel multi-objective algorithms for the molecular docking problem
— Molecular docking is an essential tool for drug design. It helps the scientist to rapidly know if two molecules, respectively called ligand and receptor, can be combined togeth...
Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali...
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
14 years 2 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 10 days ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
EGC
2005
Springer
14 years 1 months ago
Optimising Parallel Applications on the Grid Using Irregular Array Distributions
In this paper we propose a new approach for scheduling data parallel applications on the Grid using irregular array distributions. We implement the scheduler as a new case study fo...
Radu Prodan, Thomas Fahringer
BMCBI
2005
126views more  BMCBI 2005»
13 years 7 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois