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	Using Surrogate Modeling to Improve Evolutionary Optimization in Catalysis Hartman, David ; Holeňa, Martin Detailed record
	Schemes of Multiagent Systems Rydvan, Pavel Fulltext: content.csg - PDF Plný tet: v943-05 - PDF Detailed record
	Vybrané rozšířené příspěvky z mezinárodní konference CSIT 2006 (Počítačové vědy a informační technologie) - speciální číslo časopisu NNW Húsek, Dušan ; Snášel, V. ; El-Qawasmeth, E. Editors present extended versions of the best papers from the 4th International Multiconference on Computer Science and Information Technology 2006 (CSIT 2006 ) in special issue of NNW journal. Selected were the most influential papers on artificial intelligence and knowledge engineering, including biologically motivated methods.(Neural Network World 16, 4 (2006) 275-368.) Detailed record
	Shluková analýza pomocí genetických algoritmů Kudová, Petra We study the application of genetic algorithms to clustering and propose the Clustering Genetic Algorithm. On experiments we have shown that it Detailed record
	Genetic Learning of Perceptron Networks Slušný, Stanislav Plný tet: PDF Detailed record
	Evolutionary techniques in physical design for FPGAs Daněk, Martin ; Muzikář, Z. This paper disscusses two studies of using evolutionary algorithms in physical design for FPGAs. The first study presents an adaptation of a genetic algorithm that optimises parametres of a linear delay model for Xilinx XC4000 FPGA and compares their performance to parameters optimised by hand. The second study showes implementation and performance of an adaptive technology mapping algorithm for XC4000 based on Wilsons XCS classifier system. Detailed record
	Generalised Target Functions for Multilayer Neural Networks Rydvan, Milan Detailed record
	Ground Level Ozone Peak Forecasts Using Neural Networks and Kalman Filter Pelikán, Emil ; Eben, Kryštof ; Vondráček, Jiří ; Krejčíř, Pavel ; Keder, Josef Detailed record
	Optimalizace algoritmu pro rekonstrukci dat z frekvenčně rozlišeného optického hradlování využívajícího křížovou fázovou modulaci v silně dvojlomném mikrostrukturním vlákně Vraný, Boleslav ; Honzátko, Pavel ; Kaňka, Jiří We implemented a frequency resolved optical gating (FROG) measurement method using cross-phase modulation (XPM) in a microstructured optical fiber. The standard FROG reconstruction algorithm failed for this setup and we used the genetic algorithm (GA) instead. Although GA is slower, it is less prone to get stuck to local minima. Several parameters of GA need to be adjusted. We present the optimization process and the optimal parameters for theoretically simulated data. Detailed record
	Genetic programming - symbolic regression Balátě, M. ; Sláma, Lubomír Detailed record

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