Search results for "memeettiset algoritmit"

showing 5 items of 5 documents

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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Multilayer perceptron training with multiobjective memetic optimization

2016

Machine learning tasks usually come with several mutually conflicting objectives. One example is the simplicity of the learning device contrasted with the accuracy of its performance after learning. Another common example is the trade-off that must often be made between the rate of false positive and false negative predictions in diagnostic applications. For computer programs that learn from data, these objectives are formulated as mathematical functions, each of which describes one facet of the desired learning outcome. Even functions that intend to optimize the same facet may behave in a subtly different and mutually conflicting way, depending on the task and the dataset being examined. Mul…

machine learningkoneoppiminenclassification algorithmsmemeettiset algoritmitalgoritmitmultiobjective optimizationmultilayer perceptronmemetic algorithmsneuroverkotmatemaattinen optimointineural networksluokitus
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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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Memeettisistä algoritmeista

2007

paikallishakumemeettiset algoritmitevoluutioalgoritmitalgoritmit
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