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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
GARS: an improved genetic algorithm with reserve selection for global optimization
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
CEC
2007
IEEE
13 years 11 months ago
Performance tuning of genetic algorithms with reserve selection
Abstract— This paper provides a deep insight into the performance of genetic algorithms with reserve selection (GARS), and investigates how parameters can be regulated to solve o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
CEC
2008
IEEE
13 years 11 months ago
Solving deceptive problems using a genetic algorithm with reserve selection
— Deceptive problems are a class of challenging problems for conventional genetic algorithms (GAs), which usually mislead the search to some local optima rather than the global o...
Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu
IJON
2000
105views more  IJON 2000»
13 years 4 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...
ESWA
2006
154views more  ESWA 2006»
13 years 5 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim