Sonderforschungsbereich (SFB) 531 : [249]

The field of Computational Intelligence (CI) covers all sorts of techniques for subsymbolic (numerical) knowledge processing, such as the well known Fuzzy Logic (FL), Neural Networks (NN), and Evolutionary Algorithms (EA) as well as other approaches with lesser dissemination. Although CI techniques are widely in use, there still exists a large gap between theory and application. To close this gap the Collaborative Research Center (SFB) 531 has been founded at the University of Dortmund in 1997 as an interdisciplinary research institute. It is financially supported by the Deutsche Forschungsgemeinschaft (DFG). The scientific goals of the SFB are the investigation and improvement of the foundations, applications, as well as combinations of CI methods.

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Collection's Items (Sorted by Submit Date in Descending order): 81 to 100 of 249
Issue DateTitleAuthor(s)
2004-10-21Bridging the Gap Between Theory and PracticeJansen, Thomas; Wiegand, R. Paul
2004-10-21Merkmalsbasiertes Lernen von Platzierungsregeln im Rahmen der Aufstellungsplanung von ChemieanlagenHicking, Bernd; Ritthoff, Oliver
2004-10-21Searching Randomly for Maximum MatchingsGiel, Oliver; Wegener, Ingo
2004-10-21On the Analysis of Dynamic Restart Strategies for Evolutinary AlgotithmsJansen, Thomas
2004-10-21The Ising Model: Simple Evolutionary Algorithms as Adaptation SchemesBriest, Patrick; Brockhoff, Dimo; Degener, Bastian; Englert, Matthias; Gunia, Christian; Heering, Oliver; Jansen, Thomas; Leifhelm, Michael; Plociennik, Kai; Röglin, Heiko; Schweer, Andrea; Sudholt, Dirk; Tannenbaum, Stefan; Wegener, Ingo
2004-10-21Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatiorial OptimizationBriest, Patrick; Brockhoff, Dimo; Degener, Bastian; Englert, Matthias; Gunia, Christian; Heering, Oliver; Jansen, Thomas; Leifhelm, Michael; Plociennik, Kai; Röglin, Heiko; Schweer, Andrea; Sudholt, Dirk; Tannenbaum, Stefan; Wegener, Ingo
2004-10-21Worst-Case and Averange-Case Approximations by Simple Randomized Search HeuristicsWitt, Carsten
2004-10-21Predicting the Solution Quality in Noisy OptimizationBeyer, Hans-Georg; Meyer-Nieberg, Silja
2004-07-13Validation and optimization of an elevator simulation model with modern search heuristicsBartz-Beielstein, Thomas; Markon, Sandor; Preuss, Mike
2004-07-13Optimization and information processingWiesmann, Dirk
2004-07-13A partial order approach to noisy fitness functionsRudolph, Günter
2004-07-13Designing particle swarm optimization with regression treesBartz-Beielstein, Thomas; Parsopoulos, K. E.; Vegt, M. de; Vrahatis, M. N.
2004-07-13Tuning search algorithms for real-world applicationsBartz-Beielstein, Thomas; Markon, Sandor
2004-07-13Multi-layered neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithmAizenberg, Igor; Moraga, Claudio
2004-07-13An analysis of the (u+1) EA on pseudo-boolean functionsWitt, Carsten
2004-05-24On the design and analysis of evolutionary algorithmsWegener, Ingo
2004-05-24Efficient design of a complete rule search in sparsely populated search spacesKrause, Peter; Krone, Angelika; Slawinski, Timo
2004-05-24A distance measure for the mutation of fuzzy rulesKrone, Angelika; Slawinski, Timo
2004-05-24Parallel evolutionary algorithms for optimizing data based generated fuzzy systemsKrause, Peter; Slawinski, T.; Wiesmann, D.
2004-05-24Fuzzy interpretation of musicKiendl, Harro; Kiseliova, Tatiana; Rambinintsoa, Yves
Collection's Items (Sorted by Submit Date in Descending order): 81 to 100 of 249