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» Morphing methods in evolutionary design optimization
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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 5 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 5 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 5 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
RECOMB
2002
Springer
14 years 11 months ago
Comparison of minisatellites
In the class of repeated sequences that occur in DNA, minisatellites have been found polymorphic and became useful tools in genetic mapping and forensic studies. They consist of a...
Eric Rivals, Sèverine Bérard
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
14 years 2 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein