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CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
13 years 11 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
TSMC
2002
125views more  TSMC 2002»
13 years 7 months ago
Dynamic page based crossover in linear genetic programming
Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructi...
Malcolm I. Heywood, A. Nur Zincir-Heywood
BMCBI
2010
169views more  BMCBI 2010»
13 years 7 months ago
eCOMPAGT integrates mtDNA: import, validation and export of mitochondrial DNA profiles for population genetics, tumour dynamics
Background: Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncov...
Hansi Weißensteiner, Sebastian Schönher...
IPPS
2005
IEEE
14 years 1 months ago
Dynamic Task Scheduling using Genetic Algorithms for Heterogeneous Distributed Computing
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dyna...
Andrew J. Page, Thomas J. Naughton