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Titlebook: Variants of Evolutionary Algorithms for Real-World Applications; Raymond Chiong,Thomas Weise,Zbigniew Michalewicz Book 20121st edition Spr

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A Fitness Granulation Approach for Large-Scale Structural Design Optimizationuracy and the utility of the computations. The adaptation algorithm adjusts the number and size of the granules according to the perceived performance and level of convergence attained. Experimental results show that the proposed method accelerates the convergence towards solutions when compared to
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An Interactively Constrained Neuro-Evolution Approach for Behavior Control of Complex Robotsthis tool enables the experimenter to bias the solution space towards desired control approaches. The application of the ICONE method is demonstrated by evolving a walking behavior for a physical humanoid robot, for which a whole library of behaviors has been developed.
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Evolving Cellular Neural Networks for the Automated Segmentation of Multiple Sclerosis Lesionsntation process. In comparison to manual segmentations, the proposed method shows a very high level of reliability. It must also be reported that the relative algorithm is more accurate and it adapts to different conditions of the stimulus. Furthermore, it can create 3D images of the brain regions a
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An Evolutionary Algorithm for Skyline Query Optimization a comparison between EAs and DP is necessary, because DP is used in most database management systems despite its aforementioned scaling problem. In this chapter, we present experimental results of . and show that . can achieve better performance than DP for large queries. An extended version of eaS
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Variants of Evolutionary Algorithms for Real-World Applications978-3-642-23424-8
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