GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
DAGM
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
COLT
2006
Springer
13 years 8 months ago
2006
Springer
We design algorithms for two online variance minimization problems. Specifically, in every trial t our algorithms get a covariance matrix Ct and try to select a parameter vector wt...
ASWEC
2007
IEEE
13 years 8 months ago
2007
IEEE
Testers often represent systems under test in input parameter models. These contain parameters with associated values. Combinations of parameter values, with one value for each pa...
GECCO
1999
Springer
13 years 9 months ago
1999
Springer
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
VISUALIZATION
1999
IEEE
13 years 9 months ago
1999
IEEE
For types of data visualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a vi...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...