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.
Collection's Items (Sorted by Submit Date in Descending order): 61 to 80 of 249
| Issue Date | Title | Author(s) |
| 2006-01-19T15:33:23Z | Simulated Annealing Beats Metropolis in Combinatorial Optimization | Wegener, Ingo |
| 2006-01-19T15:33:10Z | Constraint Programming versus Logik | Köpcke, Hanna; Schröder, Andreas |
| 2006-01-19T15:32:51Z | A Predator-Prey Approach for Pareto-Optimization | Mehnen, Jörn; Michelitsch, Thomas; Schmitt, Karlheinz |
| 2006-01-19T15:32:38Z | KEA - a software package for development, analysis and application of multiple objective evolutionary algorithms | Bartz-Beielstein, Thomas; Mehnen, J.; Naujoks, B.; Schmitt, K.; Zibold, D. |
| 2006-01-19T15:32:20Z | Runtime Analysis of the (1+1) ES Minimizing Simple Quadratic Forms Using the 1/5-Rule | Jägersküpper, Jens |
| 2006-01-19T15:32:06Z | Using Gene Duplication and Gene Deletion in Evolution Strategies | Schmitt, Karlheinz |
| 2006-01-19T15:31:50Z | Multikriterielle evolutionäre Aufstellungsoptimierung von Chemie-Anlagen unter Beachtung gewichteter Designregeln | Geisbe, Thorsten; Mierswa, Ingo |
| 2006-01-19T15:31:34Z | pMOHypEA: Parallel Evolutionary Multiobjective Optimization using Hypergraphs | Kohlen, Torsten; Mehnen, Jörn; Michelitsch, Thomas; Schmitt, Karlheinz |
| 2006-01-19T15:31:22Z | Scheduling Algorithm Development based on Complex Owner Defined Objectives | Beume, Nicola; Emmerich, Michael; Ernemann, Carsten; Schönemann, Lutz; Schwiegelshohn, Uwe |
| 2006-01-19T15:31:09Z | User Group-based Workload Analysis and Modelling | Ernemann, Carsten; Song, Baiyi; Yahyapour, Ramin |
| 2006-01-19T15:30:54Z | Minimum Spanning Trees Made Easier Via Multi-Objective Optimization | Neumann, Frank; Wegener, Ingo |
| 2006-01-19T15:30:39Z | On the Impact of Objective Function Transformations on Evolutionary and Black-Box Algorithms | Storch, Tobias |
| 2006-01-19T15:30:23Z | Efficient Case Based Feature Construction for Heterogeneous Learning Tasks | Mierswa, Ingo; Wurst, Michael |
| 2006-01-19T15:30:08Z | Design and Analysis of an Asymmetric Mutation Operator | Jansen, Thomas; Sudholt, Dirk |
| 2006-01-19T15:29:55Z | Crossover is Provably Essential for the Ising Model on Trees | Sudholt, Dirk |
| 2006-01-19T15:29:40Z | Runtime Analysis of a (μ +1) ES for the Sphere Function | Jägersküpper, Jens; Witt, Carsten |
| 2006-01-19T15:29:23Z | On the Complexity of Overcoming Gaps When Using Elitist Selection and Isotropic Mutations | Jägersküpper, Jens |
| 2006-01-19T15:29:01Z | Analysis of a simple (1+1) ES for the Class of Positive Definite Quadratic Forms with Bounded Condition Number | Jägersküpper, Jens |
| 2006-01-19T15:07:01Z | Runtime Analysis of a Simple Ant Colony Optimization Algorithm | Neumann, Frank; Witt, Carsten |
| 2004-10-21 | On the Choice of Offspring Population Size in Evolutionary Algorithms | De Jong, Kenneth A.; Jansen, Thomas; Wegener, Ingo |
Collection's Items (Sorted by Submit Date in Descending order): 61 to 80 of 249
