Mitglied der Forschungs-
gemeinschaft industrieller
Forschungsvereinigungen
"Otto v. Guericke" e.V.
Bücher Tagungsbände Konferenzbeiträge Zeitschriftenbeiträge Technische Berichte Tutorien Diplomarbeiten
H.-M. Voigt. Evolution and Optimization: An Introduction to Solving Complex Problems by Replicator Networks. Berlin: Akademie-Verlag 1989
H.-M. Voigt, H. Mühlenbein, H.-P. Schwefel (Eds.). Evolution and Optimization '89. Proceedings of the Wartburg Workshop on Evolution Theory, Combinatorial Optimization, and Related Topics, April 1989. Berlin: Akademie-Verlag 1990
H.-M. Voigt, W. Ebeling, I. Rechenberg, H.-P. Schwefel (Eds.). Proceedings of the International Conference on Evolutionary Computation - The 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Lecture Notes in Computer Science 1141. Heidelberg: Springer-Verlag 1996 ( Preface, Contents, Author Index, Subject Index )
R. Poli, H.-M. Voigt, S. Cagnoni, D. Corne, G.D. Smith, T.C. Fogarty (Eds.). Evolutionary Image Analysis, Signal Processing, and Telecommunications. Proceedings of the First Workshops, EvoIASP99 and EuroEcTel99, Goeteborg, Sweden, May 26-27, 1999. Lecture Notes in Computer Science 1596. Heidelberg: Springer-Verlag 1999
Lee Spector, Erik D. Goodman, Annie Wu, W.B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke(Eds.). Proceedings of the Genetic and Evolutionary Computation Conference 2001 (GECCO '01). San Francisco: Morgan Kaufmann Publishers 2001
H.-M. Voigt. Fuzzy Evolutionary Algorithms. Technical Report TR-92-038, International Computer Science Institute (ICSI), Berkeley 1992
H.-M. Voigt, J. Born, I. Santibaez-Koref. A Multivalued Evolutionary Algorithm. Technical Report TR-93-022, International Computer Science Institute (ICSI), Berkeley 1993
H.-M. Voigt, J. Born, I. Santibanez-Koref. Multivalued Evolutionary Algorithms. In Proceedings of the 5th International Conference on Genetic Algorithms,San Mateo: Morgan Kaufmann Publishers, p. , 1993
J. M. Lange, H.-M. Voigt, D. Wolf. Task Decomposition and Correlations in Growing Artificial Neural Networks. In M. Mariano, P. G. Morasso, ed. Proceedings of the International Conference on Artificial Neural Networks 94', Sorrento, pages 735-738,Springer, 1994
J. M. Lange, H.-M. Voigt, D. Wolf. Growing Artificial Neural Networks Based on Correlation Measures, Task Decomposition and Local Attention Neurons. In Proceedings of the IEEE International Conference on Neural Networks 1994 as Part of the IEEE World Congress on Computational Intelligence, Orlando, pages 1355-1358, vol 2, IEEE Press, 1994
J. M. Lange, H.-M. Voigt, D. Wolf. The TACOMA learning architecture for reflective growing of neural networks In IEE Colloquium on Advances in Neural Networks for Control and Systems, Daimler-Benz AG, Berlin 1994, IEE Digest 94/136, pages 2/1-2/2, The Institution of Electrical Engineers, London, 1994
H. Paetsch, J. M. Lange. Parallelisierung des TACOMA-Wachstumsalgorithmus fur Neuronale Netze. In Kurzvortrage des 6. Parallelrechner-Anwender-Treffens TAT'94, Institut fur Physiologie der RWTH Aachen, 1994 (24k)
H.-M. Voigt. Soft Genetic Operators in Evolutionary Algorithms. In W. Banzhaf, F. H. Eeckman (Eds.): Evolution as a Computational Process, pages 124-141, Lecture Notes in Computer Science 899, Berlin: Springer-Verlag 1995
H.-M. Voigt, T. Anheyer. Modal Mutations in Evolutionary Algorithms. In Proceedings of the First IEEE International Conference on Evolutionary Computation, pages 88-92, IEEE Press, 1995
H.-M. Voigt, H. Mühlenbein, D. Cvetcovic. Fuzzy Recombination for the Breeder Genetic Algorithm. In Proceedings of the 6th International Conference on Genetic Algorithms, pages , San Mateo: Morgan Kaufmann Publishers 1995
H.-M. Voigt, H. Mühlenbein. Gene Pool Recombination and the Utilization of Covariances for the Breeder Genetic Algorithm. In Proceedings of the Second IEEE International Conference on Evolutionary Computation, pages , IEEE Press 1995
J. M. Lange. Cyclical Local Structural Risk Minimization with Growing Neural Networks. Technical Report TR-96-015, International Computer Science Institute, Berkeley, CA, April 1996
J. M. Lange. Forschungsaufenthalt am International Computer Science Institut. Kurzbericht, Gesellschaft zur Foerderung angewandter Informatik Berlin, Juni 1996
H. Mühlenbein, H.-M. Voigt. Gene Pool Recombination in Genetic Algorithms. In Proceedings of the International Meta-Heuristics Conference, pages , Norwell: Kluwer Academic Publishers 1996
H.-M. Voigt, H. Mühlenbein, D. Schlierkamp-Voosen. The Response to Selection Equation for Skew Fitness Distributions. In Proceedings of the Third IEEE International Conference on Evolutinary Computation, pages , IEEE Press 1996
H. Mühlenbein, J. Bendisch, H.-M. Voigt. From Recombination of Genes to the Estimation of Distributions II. Continuous Genes. In Proceedings of the International Conference on Evolutionary Computation - The 4th International Conference on Parallel Problem Solving from Nature (PPSN IV) , pages , Lecture Notes in Computer Science 1141, Heidelberg: Springer-Verlag 1996
H.-M. Voigt, H. Mühlenbein. Erroneous Truncation selection - A Breeder's Decision Making Perspective. In Proceedings of the International Conference on Evolutionary Computation - The 4th International Conference on Parallel Problem Solving from Nature (PPSN IV) , pages , Lecture Notes in Computer Science 1141, Heidelberg: Springer-Verlag 1996
J. M. Lange, H.-M. Voigt. Application of Evolutionary and Growth Algorithms in Waste Sorting. In Proceedings of the 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT'97) , Volume 1, pages 709-712, ELITE-European Laboratory for Intelligent Techniques Engineering. Prof. Dr. Dr. h.c. Hans-Jürgen Zimmermann (Eds.).-Aachen:Mainz, 1997
H.-M. Voigt, J. M. Lange Local Evolutionary Search Enhancement by Random Memorizing. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence - The 1998 IEEE International Conference on Evolutionary Computation (ICEC'98), Piscataway: IEEE Press 1998
H.-M. Voigt, J. M. Lange On the Benefits of Random Memorizing in Local Evolutionary Search. In L. Polkowski, A. Skowron (Eds.). Proceedings of the First International Conference on Rough Sets and Current Trends in Computing (RSCTC'98),pages 255 - 262, Lecture Notes in Artificial Intelligence 1424, Heidelberg: Springer-Verlag 1998
H.-M. Voigt On some Difficulties in Local Evolutionary Search In Proceedings of the 1999 Congress on Evolutionary Computation, pages 783-787. Piscataway: IEEE Press 1999
Visolar Konsortium: Production Integrated Visual Inspection and Quality Prediction for Solar Cells and Modules. Public Final Report. ESPRIT HPCN PST Activity 28514, 2002
H.-M.Voigt Quality Control in the Manufacture of Solar Cells. In: Kalle Pamppi (Ed.): European Integrated Machine Vision Newsletter. Special Edition: Manufacturing. vo. 1, 2003
H.-M. Voigt, K. Löbe Plasmastatistik optimiert LIBS-Analyse QZ Qualität und Zuverlässigkeit, Jahrgang 49(2004) 7, 42-45, München: Hanser Verlag 2004
S. Günther, N. Teuscher, R. Hänsel, H.-M. Voigt, A. Heilmann, A. Kiesow Gasphasen- und Oberflächenanalyse von Atmosphärendruck-Plasmen zur Polymerfolienbehandlung. Vortrag, 4. Thüringer Grenz- und Oberflächentage, Jena, September 2008, Tagungsband
S. Günther, R. Hänsel, H.-M. Voigt, N. Teuscher, A. Heilmann, A. Kiesow Oberflächenmodifizierung von Kunstoffbahnen mittels Atmosphärendruckplasmen - Plasmadiagnostik und Oberflächenanalyse.19. Polymertag, Freiberg, April 2009, Tagungsband
S. Günther, A. Kiesow, R. Hänsel, H.-M. Voigt Ergebnisdokumentation zum Forschungsvorhaben: Analyse der Corona-Oberflächenmodifizierung von Kunstoffbahnen mittels optischer Emissionsspektroskopie. September 2009
S. Bierbaum, H.-M. Voigt Prognose basierte O3-Dosierung zur Einhaltung von CSB-Grenzwerten bei minimierten Betriebsmittelkosten. Forschungsbericht 2009
H.-M. Voigt Introduction to Quantitative Genetics with Applications to Evolutionary Computation. Tutorial presented at the Fifth International Conference on Parallel Problem Solving from Nature (PPSN V). Amsterdam, 27 September 1998
D. Herfert Adaptive Verhaltensmodellierung von Multi-Agenten-Systemen. Diplomarbeit Humboldt-Universität zu Berlin 2010
D. Lincke Verfahren zur optischen Zeichenerkennung - Eine praktische Studie. Diplomarbeit Universtät Jena, 2003
H. Pätsch Anwendung eines dynamischen neuronalen Netzes zur Klassifikation von Objekten in Grauwertbildern. Diplomarbeit Humboldt-Universität zu Berlin, 1995
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Dr. H.-M. Voigt
