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IJON
2000
105views more  IJON 2000»
14 years 11 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
SIGMOD
2003
ACM
136views Database» more  SIGMOD 2003»
15 years 11 months ago
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters
Most relational query optimizers make use of information about the costs of accessing tuples and data structures on various storage devices. This information can at times be off b...
Frederick Reiss, Tapas Kanungo
81
Voted
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 5 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
113
Voted
GECCO
2005
Springer
203views Optimization» more  GECCO 2005»
15 years 5 months ago
Ant colony optimization for power plant maintenance scheduling optimization
In order to maintain a reliable and economic electric power supply, the maintenance of power plants is becoming increasingly important. In this paper, a formulation that enables a...
Wai-Kuan Foong, Holger R. Maier, Angus R. Simpson
69
Voted
ICAPR
2005
Springer
15 years 5 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet