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WSC
2008
13 years 9 months ago
Data enhancement, smoothing, reconstruction and optimization by kriging interpolation
The performance of Kriging interpolation for enhancement, smoothing, reconstruction and optimization of a test data set is investigated. Specifically, the ordinary twodimensional ...
Hasan Gunes, Hakki Ergun Cekli, Ulrich Rist
CEC
2010
IEEE
13 years 5 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 25 days ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 25 days ago
Identifying valid solutions for the inference of regulatory networks
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimi...
Christian Spieth, Felix Streichert, Nora Speer, An...
WCE
2007
13 years 8 months ago
Optimizing Designs based on Risk Approach
— In this paper a new approach to optimize nuclear power plant designs based on global risk reduction are described. In design the focus is on as components quality as redundancy...
Jorge E. Núñez Mc Leod, Selva S. Riv...