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): 161 to 180 of 249
Issue DateTitleAuthor(s)
2001-10-17On the Behavior of the (1+1) Evolutionary Algorithm on Quadratic Pseudo-Boolean FunctionsWegener, Ingo; Witt, Carsten
2001-10-17Takeover Times of Noisy Non-Generational Selection Rules that Undo ExtinctionRudolph, Günter
2001-10-17Evolutionary Algorithms - How to Cope With Plateaus of Constant Fitness and When to Reject Strings of the Same FitnessJansen, Thomas; Wegener, Ingo
2001-10-17Performance Analysis of Evolution Strategies with Multi-Recombination in High-Dimensional REN - Search Spaces Disturbed by NoiseArnold, Dirk V.; Beyer, Hans-Georg
2001-10-17A Natural and Simple Function Which is Hard For All Evolutionary AlgorithmsDroste, Stefan; Jansen, Thomas; Wegener, Ingo
2001-10-17On the Choice of the Mutation Probability for the (1+1) EAJansen, Thomas; Wegener, Ingo
2001-10-17Optimization with Randomized Search Heuristics : The (A)NFL Theorem,Realistic Scenarios, and Difficult FunctionsDroste, Stefan; Jansen, Thomas; Wegener, Ingo
2001-10-17Distributed Hybrid Genetic Programming for Learning Boolean FunctionsDroste, Stefan; Heutelbeck, Dominic; Wegener, Ingo
2001-10-17Dynamic Parameter Control in Simple Evolutionary AlgorithmsDroste, Stefan; Jansen, Thomas; Wegener, Ingo
2001-10-17A Comparison of Point Data Selection Schemes for Evolutionary Surface ReconstructionsMehnen, Jörn; Weinert, Klaus
2001-10-16Discrete NURBS-Surface Approximation using an Evolutionary StrategyMehnen, Jörn; Weinert, Klaus
2001-10-16Parallele Strategien für schwierige OptimierungsproblemeBernholt, Thorsten
2001-10-16Circuit Analysis and Design using Evolutionary AlgorithmsBurwick, Christian; Goser, Karl; Thomas, Marc
2001-10-16Fuzzy system identification by generating and evolutionary optimizing fuzzy rule bases consisting of relevant fuzzy rulesKrause, P.; Krone, A.; Slawinski, T.
2001-10-16Mutation Operators for the Evolution of Finite AutomataWiesmann, Dirk
2001-10-16Convergence Properties of Some Multi-Objective Evolutionary AlgorithmsAgapie, Alexandru; Rudolph, Günter
2001-10-16Local Performance of the (1 + 1)-ES in a Noisy EnvironmentArnold, Dirk V.; Beyer, Hans-Georg
2001-10-16On the performance of (1,l)-Evolution Strategies at the ridge function classBeyer, Hans-Georg
2001-10-16Takeover Times and Probabilities of Non-Generational Selection RulesRudolph, Günter
2001-10-16On Classifications of Fitness FunctionsJansen, Thomas
Collection's Items (Sorted by Submit Date in Descending order): 161 to 180 of 249