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): 121 to 140 of 249
Issue DateTitleAuthor(s)
2003-12-23Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMaxDroste, Stefan
2003-12-23Bestimmung von Isothermenparametern mit Hilfe des maschinellen LernensFelske, Sven; Klinkenberg, Ralf; Rittho, Oliver
2003-12-23Tuning Evolutionary AlgorithmsBeielstein, Thomas
2003-12-23A Parallel Approach to Elevator Optimization Based on Soft ComputingBartz-Beielstein, Thomas; Markon, Sandor; Preuss, Mike
2003-12-23Optimal Elevator Group Control by Evolution StrategiesBeielstein, Thomas; Ewald, Claus-Peter; Markon, Sandor
2003-12-23The Cooperative Coevolutionary (1+1) EAJansen, Thomas; Wiegand, R. Paul
2003-12-23On the Effects of Outliers on Evolutionary OptimizationArnold, Dirk V.; Beyer, Hans-Georg
2003-12-23Optimum Tracking with Evolution StrategiesArnold, Dirk V.; Beyer, Hans-Georg
2003-12-23Evolutionary Algorithms and the Maximum Matching ProblemGiel, Oliver; Wegener, Ingo
2003-06-05A Hybrid Approach to Feature Selection and Generation Using an Evolutionary AlgorithmFischer, Simon; Klinkenberg, Ralf; Mierswa, Ingo; Ritthoff, Oliver
2003-06-04Expected Sample Moments of Concomitants of Selected Order StatisticsArnold, Dirk V.; Beyer, Hans-Georg
2003-06-04On the Benefits of Distributed Populations for Noisy OptimizationArnold, Dirk V.; Beyer, Hans-Georg
2003-06-04YALE: Yet Another Learning EnvironmentFischer, Simon; Klinkenberg, Ralf; Mierswa, Ingo; Ritthoff, Oliver
2003-06-04Evolutionary Optimization with Cumulative Step Length AdaptationArnold, Dirk V.; Beyer, Hans-Georg
2003-06-04Analysis of a Simple Evolutionary Algorithm for the Minimization in Euclidian SpacesJägersküpper, Jens
2003-06-04On the Optimization of Monotone Polynomials by Simple Randomized Search HeuristicsWegener, Ingo; Witt, Carsten
2002-04-08Noisy Optimization with Evolution StrategiesArnold, Dirk V.; Beyer, Hans-Georg
2002-04-08Random Dynamics Optimum Tracking with Evolution StrategiesArnold, Dirk V.; Beyer, Hans-Georg
2002-04-08Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution StrategiesArnold, Dirk V.; Beyer, Hans-Georg
2002-04-08Fitness Landscapes Based on Sorting and Shortest Path ProblemsScharnow, Jens; Tinnefeld, Karsten; Wegener, Ingo
Collection's Items (Sorted by Submit Date in Descending order): 121 to 140 of 249