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Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK
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PublicationMulti-objective particle swarm optimization by fuzzy-pareto-dominance meta-heuristic( 2006)
;Veenhuis, C.Köppen, M. -
PublicationTiny GAs for image processing applications( 2006)
;Köppen, M. ;Franke, K.Vicente-Garcia, R.The expedience of today's image-processing applications is no longer based on the performance of a single algorithm alone. These systems appear to be complex frameworks with a lot of sub-tasks that are solved by specific algorithms, adaptation procedures, data handling, scheduling, and parameter choices. The venture of using computational intelligence (CI) in such a context, thus, is not a matter of a single approach. Among the great choice of techniques to inject CI in an image-processing framework, the primary focus of this presentation will be on the usage of so-called Tiny-GAs. This stands for an evolutionary procedure with low efforts, i.e. small population size (like 10 individuals), little number of generations, and a simple fitness. Obviously, this is not suitable for solving highly complete: optimization tasks, but the primary interest here is not the best individual's fitness, but the fortune of the algorithm and its population, which has just escaped the Monte-Carlo domain after random initialization. That this approach can work in practice will be demonstrated by means of selected image-processing applications, especially in the context of linear regression and line fitting; evolutionary post processing of various clustering results, in order to select a most suitable one by similarity; and classification by the fitness values obtained after a few generations. -
PublicationSewage pipe image segmentation using a neural based architecture( 1996)
;Ruiz del Solar, J.Köppen, M. -
PublicationPractical applications of neural networks in texture analysis( 1996)
;Biebelmann, E. ;Köppen, M.Nickolay, B.