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» Evolutionary Computation for Modeling and Optimization
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GECCO
2010
Springer
210views Optimization» more  GECCO 2010»
15 years 9 months ago
Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac disease
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
Mirela Ovreiu, Dan Simon
GECCO
2009
Springer
140views Optimization» more  GECCO 2009»
15 years 9 months ago
AMaLGaM IDEAs in noisy black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
15 years 9 months ago
AMaLGaM IDEAs in noiseless black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 8 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 6 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...