]> BibSonomy publications for /author/Frey http://www.bibsonomy.org/burst/author/Frey BibSonomy BuRST Feed for /author/Frey 2008-07-20T23:42:02+02:00 A Parallel Topological Map for Image Segmentation. dblphttp://www.bibsonomy.org/bibtex/206515f517e19dcdb1e4a94f9bcdf5501/dblp dblp 2008-07-07T00:00:00+02:00 dblp
A Parallel Topological Map for Image Segmentation.
Dinu Scheppelmann and Jochen Frey and Manuela Schäfer and Hans-Peter Meinzer MVA 273-276 (1992)
to dblp by dblp on 2008-07-07 00:00:00 ]]> MVAconf/mva/1992273-276A Parallel Topological Map for Image Segmentation.1992dblp 2008-07-07 00:00:00.0 A Parallel Topological Feature Map in APL. dblphttp://www.bibsonomy.org/bibtex/2183c8e2dae4604422e91fb30b8307e58/dblp dblp 2008-07-07T00:00:00+02:00 dblp
A Parallel Topological Feature Map in APL.
Jochen Frey and Dinu Scheppelmann and Gerald-P. Glombitza and Hans-Peter Meinzer APL 97-103 (1993)
to dblp by dblp on 2008-07-07 00:00:00 ]]> APL97-103A Parallel Topological Feature Map in APL.1993dblp 2008-07-07 00:00:00.0 Process for hydrosilylation of alkenes in ionic liquids in preparation of alkylchlorosilanes. http://www.bibsonomy.org/bibtex/2dcc3f31bcdee23317a9e414b8b7db70c/psschulz psschulz 2008-07-03T16:56:43+02:00 IonicLiquds allyl chloride chloropropylsilane halosilane hydrosilylation improved ionic liq own prepn process process; silane
Process for hydrosilylation of alkenes in ionic liquids in preparation of alkylchlorosilanes.
Andreas Bauer and Thomas Frey and Peter Wasserscheid and Peter Schulz and Norber Hofmann PCT Int. Appl. WO 2007-EP56210 20070621 39pp. (2008)
to IonicLiquds allyl chloride chloropropylsilane halosilane hydrosilylation improved ionic liq own prepn process process; silane by psschulz on 2008-07-03 16:56:43 ]]> PCT Int. Appl. WO 2007-EP56210 2007062139pp.Process for hydrosilylation of alkenes in ionic liquids in preparation of alkylchlorosilanes.2008IonicLiquds allyl chloride chloropropylsilane halosilane hydrosilylation improved ionic liq own prepn process process; silane 2008-07-03 16:56:43.0Alkylchlorosilanes were prepd. by hydrosilylation of alkenes R8R9C:CR10R11 (2; R8-R11 = H, optionally halo-, amino-, alkoxy-, cyano- of isocyanato-substituted C1-18 hydrocarbyl, Cl, F, C1-18 alkoxy) by silanes HaSiR4-a (1; R = H, optionally halo C1-18 hydrocarbyl, C1-18 alkoxy; a = 1-3), preferably by chlorosilanes RcHdSiCl4-c-d (3; same R, c = 0-4, d = 1-3), catalyzed by transition metal complexes, preferably by platinum complexes dissolved in ionic liqs. [A+][Y-] (4; Y- = BArF4-, BF4-, P(C2F5)3F3-, SbF6-, AsF6-, fluorosulfonate, carboxylate, sulfonate, organyl sulfate, diorganyl phosphate, disulfonylimidate; A+ = tetraorganylammonium, tetraorganylphosphonium, imidazolium, pyridinium, pyrazolium, triazolium, picolinium, pyrrolidinium), optionally supported by high-porous silica. In an example, the silica-supported catalyst was prepd. by adsorption of a soln. of 0.7 mg of PtCl4 in 1.0 g of 1-ethyl-2,3-dimethylimidazolium bis(trifluoromethylsulfonyl)imidate on 5 g of granulated silica (0.2-0.5 mm particles) followed by reaction of 6.3 g of allyl chloride with 11.7 g of trichlorosilane at 100 Deg, giving (trichloropropyl)trichlorosilane with 70% yield and 73% selectivity. In another example, the catalytic soln. of PtCl4 in 1-ethyl-2,3-dimethylimidazolium bis(trifluoromethylsulfonyl)imidate was reused three times with any loss of catalytic activity. [on SciFinder (R)] Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling http://www.bibsonomy.org/bibtex/2f3c8aebbad5ab0a8e7ae9c0ba83d185a/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling
Clemens Frey (2002)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> Bayreuth, Germany(in German)Bayreuth Forum EcologyVirtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling932002algorithms, genetic programming 2008-06-19 17:35:00.0The realm of Evolutionary Computation covers many tools commonly used for solving complex discrete and continuous global optimization problems. These methods, which are known as Genetic Algorithms, Evolution Strategies, Evolutionary Programming and Genetic Programming, stem from efforts of modeling adaptive systems, from engineering and computer science. They are based on the idea of restating the Darwinian principles of natural evolution in algorithmic terms in order to get problem-solving methods for non-biological applications. Today Genetic Algorithms, Evolution Strategies and Evolutionary Programming mainly serve as mathematical techniques of numerical optimization. Genetic Programming likewise is an adaptation technique, but there is a different focus: based on evolutionary principles Genetic Programming enables us to automatically generate computer programs.The underlying hypotheses of this book is that the main point of natural, biological evolution is its data processing aspect. Evolution is seen as a certain way of processing individuals' and populations' genetic data. Referring to Evolutionary Computation there is a very interesting question now: Is it appropriate to employ Genetic Programming and similar algorithms in order to investigate natural evolution? Of course this means turning around the application profile of Evolutionary Computation, so where do we have to alter its algorithmic structure and the like? Finally, supposed there is a modified method, how do the results of both the classic algorithm and the modified variant compare to each other?In the first chapter we state the general notion of a search strategy. It may be a living being's policy of resource allocation, for example, but the notion covers optimization methods, too. A search strategy shall be defined in mathematical terms as being a dynamical system combined with a quality measure which is based on the trajectories the dynamical system produces. The author proposes a precise formulation for what a search strategy is generally claimed to accomplish, namely to generate dynamic behavior which gets us to the neighborhood of a predefined goal, possibly obeying certain constraints within the dynamics of the search process.Chapter two contains a gentle introduction into the field of Evolutionary Computation, namely Adaptive Systems, Genetic Algorithms, Evolution Strategies and Evolutionary Programming. We focus on Genetic Programming, however, and take a look at a paradigmatic experiment for automatically finding search strategies, i.e. the so-called artificial ant-experiment. In doing so the reader is also shown how the mathematical framework built in the first chapter may be used to formulate the artificial ant-problem. Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling http://www.bibsonomy.org/bibtex/26a5c6f1d5547584fd3b79feda66f4c91/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling
Clemens Frey (2002)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> Virtual Ecosystems - Evolutionary and Genetic Programming from the perspective of modern means of ecosystem-modelling2002algorithms, genetic programming 2008-06-19 17:35:00.0 Co-Evolution of Finite State Machines for Optimization: Promotion of Devices Which Search Globally http://www.bibsonomy.org/bibtex/2713ff573ef53aaf61472f21c06b4212b/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Co-Evolution of Finite State Machines for Optimization: Promotion of Devices Which Search Globally
Clemens Frey International Journal of Computational Intelligence and Applications 1 1--16 (2002)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> International Journal of Computational Intelligence and Applications21--16Co-Evolution of Finite State Machines for Optimization: Promotion of Devices Which Search Globally12002algorithms, genetic programming 2008-06-19 17:35:00.0In this work a co-evolutionary approach is used in conjunction with Genetic Programming operators in order to find certain transition rules for two-step discrete dynamical systems. This issue is similar to the well-known artificial-ant problem. We seek the dynamic system to produce a trajectory leading from given initial values to a maximum of a given spatial functional. This problem is recast into the framework of input-output relations for controllers, and the optimization is performed on program trees describing input filters and finite state machines incorporated by these controllers simultaneously. In the context of Genetic Programming there is always a set of test cases which has to be maintained for the evaluation of program trees. These test cases are subject to evolution here, too, so we employ a so-called host-parasitoid model in order to evolve optimizing dynamical systems. Reinterpreting these systems as algorithms for finding the maximum of a functional under constraints, we have derived a paradigm for the automatic generation of adapted optimization algorithms via optimal control. We provide numerical examples generated by the GP-system MathEvEco. These examples refer to key properties of the resulting strategies and they include statistical evidence showing that for this problem of system identification the co-evolutionary approach is superior to standard Genetic Programming. Evolving Strategies for Global Optimization - A Finite State Machine Approach http://www.bibsonomy.org/bibtex/263b3dbcc88eec0d6c1d0c7ab7fa16e3c/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 adapted algorithms, controllers, dynamic finite genetic machines, optimization optimizing programming, spatial state strategies systems,
Evolving Strategies for Global Optimization - A Finite State Machine Approach
Clemens Frey and Gunter Leugering Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001) 27--33 (2001)
to adapted algorithms, controllers, dynamic finite genetic machines, optimization optimizing programming, spatial state strategies systems, by brazovayeye on 2008-06-19 17:35:00 ]]> San Francisco, California, USAProceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001)7-11 July27--33Evolving Strategies for Global Optimization - {A} Finite State Machine Approach2001adapted algorithms, controllers, dynamic finite genetic machines, optimization optimizing programming, spatial state strategies systems, 2008-06-19 17:35:00.0 Position Paper: Grid/Web Enhancements to the National Crystallographic Service: Experiences with an Interactive e-science Demonstrator. dblphttp://www.bibsonomy.org/bibtex/2fa7181cf4c0ea69fba1463c5170d9613/dblp dblp 2008-06-01T00:00:00+02:00 dblp
Position Paper: Grid/Web Enhancements to the National Crystallographic Service: Experiences with an Interactive e-science Demonstrator.
Michael B. Hursthouse and Mike Surridge and Jeremy G. Frey and Simon J. Coles and Mark E. Light and Ken Meacham and Darren Marvin and David De Roure and Hugo R. Mills EuroWeb (2002)
to dblp by dblp on 2008-06-01 00:00:00 ]]> EuroWebconf/euroweb/2002Workshops in ComputingPosition Paper: Grid/Web Enhancements to the National Crystallographic Service: Experiences with an Interactive e-science Demonstrator.2002dblp 2008-06-01 00:00:00.0 Market volatility and feedback effects from dynamic hedging importedhttp://www.bibsonomy.org/bibtex/28291a1ee2c2e91fe3b7c2bae714c54bc/fbw fbw 2008-05-30T16:42:01+02:00 imported
Market volatility and feedback effects from dynamic hedging
{Rüdiger} Frey (1995)
to imported by fbw on 2008-05-30 16:42:01 ]]> Sonderforschungsbereich 30331 SBonnMarket volatility and feedback effects from dynamic hedging1995imported 2008-05-30 16:42:01.0 A systematic approach to pricing and hedging of international derivatives with interest rate risk importedhttp://www.bibsonomy.org/bibtex/248249d95b2cc776ed755b475569fa863/fbw fbw 2008-05-30T16:42:01+02:00 imported
A systematic approach to pricing and hedging of international derivatives with interest rate risk
{Rüdiger} Frey and {Daniel} Sommer (1995)
to imported by fbw on 2008-05-30 16:42:01 ]]> Sonderforschungsbereich 30330 SBonnA systematic approach to pricing and hedging of international derivatives with interest rate risk1995imported 2008-05-30 16:42:01.0