Sciweavers

51 search results - page 4 / 11
» Three interconnected parameters for genetic algorithms
Sort
View
CEC
2010
IEEE
13 years 8 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...
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 3 months ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
14 years 3 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
IWANN
2009
Springer
14 years 5 months ago
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
Hugo Picado, Marcos Gestal, Nuno Lau, Luís ...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 3 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel