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    题名 作者 年代 出处 被引量
1Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks——A Case Study for the Optimal Ordering of Tables显示文摘Parameter setting for evolutionary algorithms is still an important issue in evolutionary computation. There are two main approaches to parameter setting: parameter tuning and parameter control. In this paper, we introduce self-adaptive parameter control of a genetic algorithm based on Bayesian network learning and simulation. The nodes of this Bayesian network are genetic algorithm parameters to be controlled. Its structure captures probabilistic conditional (in)dependence relationships between the parameters. They are learned from the best individuals, i.e., the best configurations of the genetic algorithm. Individuals are evaluated by running the genetic algorithm for the respective parameter configuration. Since all these runs are time-consuming tasks, each genetic algorithm uses a small-sized population and is stopped before convergence. In this way promising individuals should not be lost. Experiments with an optimal search problem for simultaneous row and column orderings yield the same optima as state-of-the-art methods but with a sharp reduction in computational time. Moreover, our approach can cope with as yet unsolved high-dimensional problems.Concha Bielza Juan A. Fernndez del Pozo Pedro Larranaga 2013Journal of Computer Science & Technology2013,28,4:2
2Agespecific expression of resistance to a neonicotinoid insecticide in the whitefly Bemisia tabaci显示文摘Nauen R Bielza P Denholm I Gorman K 0,,:1
3Multi-dimensional classification with bayesian networks显示文摘BIELZA C LI G LARRANAGA P 0,,52:1
4Field and laboratoryselection of Frankliniella occidentalis (Pergande) for resistance to insecticides显示文摘Espinosa P J Bielza P Contreras J 2002Pest Management Science2002,58,9:1
5Insecticide resistance management strategies against the western flower thrips, Frankliniella occidentalis 显示文摘Bielza P 2008Pest Management Science2008,64,11:1
6Lack of fitness costs of insecticide resistance in the western flower thrips (Thysanoptera: Thripidae) 显示文摘Bielza P Quinto V Gr ' avalos C 2008J Econ Entomol2008,101,49:1
7Insecticide resistance management strategies against the western flower thrips Frankliniella occidentalis显示文摘Bielza P 2008Pest Manag Sci2008,64,11:1
8Synergism studies with binarymixtures of pyrethroid, carbamate and organophosphate insecticides on Frankliniella occidentalis (Pergande) 显示文摘Bielza P Espinosa P J Quinto V 2007Pest ManagSci2007,63,:1
9Insecticide resistance management strategies againstthe western flower thrips,Frankliniella occidentalis 显示文摘BIELZA P 2008PestManagement Science2008,64,11:1
10Synergism Studies with Binary Mixtures of Pyrethroid, Carbamate and Organophos- phate Insecticides on Frankliniella occidentalis (Pergande)显示文摘BIELZA P ESPINOSA P J QUINTO V 2007Pest Management Science2007,63,:1
11Classification of neural signalsfromsparse autoregressive features显示文摘Vidaurre D Bielza C Larrańaga P 2013Neurocomputing2013,111,:1
12insecticide Resistance in Field Populatons of Frankliniella occidentalis (Pergande) in Murcia (South-east Spain)显示文摘ESPINOSA P J BIELZA P CONTRERAS J 2002Pest Management Science2002,58,:1
13Resistance to spinosad in the western flower thrips, Frankliniella occidentalis (Pergande), in greenhouses of south-eastern Spain 显示文摘BIELZA P QUINTO V CONTRERAS J 2007Pest Manag Sci2007,63,7:1
14Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks显示文摘Lopez C P L Bielza C 2011Neuroinformatics2011,9,4:1
15Comparison of Bayesian Networks and Artificial Neural Networks for Quality Detection m a Machining Process显示文摘Correa M Bielza C Teixeira J P 2009Expert Systems with Applications2009,36,3:1
16Resistance to spinosad in the western flower thrips, Frankliniella occidentalis ( Pergande), in greenhouses of south-eastern Spain 显示文摘Bielza P Quinto V Contreras J 2007Pest Management Science2007,63,7:1
17Discrete Bayesian network classifiers 显示文摘Bielza C Larranaga P 2014ACM Computing Surveys2014,47,1:1
18A list-based compact representation for large decision tables management显示文摘Pozo J A F Bielza C Gomez M 2005European Journal of Operational Research2005,160,3:1
19A comparison of clustering quality indices using outliers and noise显示文摘Guerra L Robles V Bielza C 2012Intelligent Data Analysis2012,16,4:1
20Genetics of spinosad resistance in Frankliniella occidentalis (Thysanoptera: Thripidae) 显示文摘BIELZA P QUINTO V FERNANDEZ E 2007J Econ Entomol2007,100,3:1
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