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CEC
2010
IEEE
13 years 3 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
GPEM
2000
121views more  GPEM 2000»
13 years 5 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
13 years 9 months ago
Deceptiveness and neutrality the ND family of fitness landscapes
When a considerable number of mutations have no effects on fitness values, the fitness landscape is said neutral. In order to study the interplay between neutrality, which exists ...
William Beaudoin, Sébastien Vérel, P...
PPSN
2004
Springer
13 years 10 months ago
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies
A reasonably good description of the luminosity profiles of galaxies is needed as it serves as a guide towards understanding the process of galaxy formation and evolution. To obtai...
Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi...
PPSN
2004
Springer
13 years 10 months ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik