Search results for "differentiaalievoluutio"

showing 4 items of 4 documents

Simultaneous Noise and Impedance Fitting to Transition-Edge Sensor Data Using Differential Evolution

2020

We discuss a robust method to simultaneously fit a complex multi-body model both to the complex impedance and the noise data for transition-edge sensors. It is based on a differential evolution (DE) algorithm, providing accurate and repeatable results with only a small increase in computational cost compared to the Levenberg–Marquardt (LM) algorithm. Test fits are made using both DE and LM methods, and the results compared with previously determined best fits, with varying initial value deviations and limit ranges for the parameters. The robustness of DE is demonstrated with successful fits even when parameter limits up to a factor of 10 from the known values were used. It is shown that the…

differential evolutiondifferentiaalievoluutiosignaalinkäsittelygeneettiset algoritmittutkimuslaitteetgenetic algorithmthermal modelanturittransition-edge sensor
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Memory-saving optimization algorithms for systems with limited hardware

2011

evolutionary algorithmmemetic algorithmdifferentiaalievoluutiodifferential evolutiontietämystekniikkamemeettiset algoritmitgeneettiset algoritmitglobal optimizationevoluutioalgoritmitcomputational ingelligencelaskennallinen älykkyysevoluutiolaskentacompact optimizationtekoälymatemaattinen optimointialgorithmic enhancementskoneoppiminenoptimointioptimointimenetelmätmemetic computingalgoritmitevolutionary computingpopulation-less optimizationsingle-solution optimization
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Algorithmic issues in computational intelligence optimization: from design to implementation, from implementation to design

2016

The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated tasks. As side effect, the availability of these heterogeneous technologies results into new difficult optimization problems to be faced by researchers in the field. In order to overcome the most common algorithmic issues, occurring in such a variety of possible scenarios, this research has gone through cherry-picked case-studies. A first research study moved from implementation to design considerations. Implementation limitations, such as memory constraints and real-time r…

hyper-heuristicssingle-solution algorithmsdifferentiaalievoluutiodifferential evolutionlocal searchgeneettiset algoritmitmemeettiset algoritmitevoluutiolaskentamatemaattinen optimointiheuristiikkaalgorithms local searchkoneoppiminenmemetic computingstructural biasalgoritmitcompact algorithmssingle-solution
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Simple memetic computing structures for global optimization

2014

optimointidifferentiaalievoluutiomemetic computingdifferential evolutionlocal searchmemeettiset algoritmitgeneettiset algoritmitmemetic algorithmsevolutionary algorithmsmemetic structures
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