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» Initial Population for Genetic Algorithms: A Metric Approach
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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 9 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
ICIAP
2001
Springer
14 years 8 months ago
Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms
Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric image data encountered commonly in medical image analysis. However, this ...
Jussi Tohka
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 2 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
IDEAL
2004
Springer
14 years 2 months ago
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.
We present an approach to classification of biomedical terms based on the information acquired automatically from the corpus of relevant literature. The learning phase consists of...
Irena Spasic, Goran Nenadic, Sophia Ananiadou
KES
2006
Springer
13 years 8 months ago
A GA Driven Intelligent System for Medical Diagnosis
Manipulation of Male sexual dysfunction (or Impotence) that concerns 10% of the male population requires expertise and great experience. Different diagnostic approaches according t...
Grigorios N. Beligiannis, Ioannis Hatzilygeroudis,...