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GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 9 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
ICNC
2005
Springer
14 years 1 months ago
Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution
Two binary-encoded models describing some aspects of the coevolution between an artificial immune system and a set of antigens have been proposed and analyzed. The first model ha...
Grazziela Patrocinio Figueredo, Luís Alfred...
CBSE
2005
Springer
14 years 2 months ago
Optimizing Resource Usage in Component-Based Real-Time Systems
This report presents data regarding simulation setup, the genetic algorithms setup and a short description to the use of the genetic algorithms. This report is written in the conte...
Johan Fredriksson, Kristian Sandström, Mikael...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 2 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
ICIP
2010
IEEE
13 years 6 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...