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Titlebook: Applications of Evolutionary Computation; 19th European Confer Giovanni Squillero,Paolo Burelli Conference proceedings 2016 Springer Intern

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On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Fronte equally spaced..Here, it is proven that the optimal averaged Hausdorff approximation and the Pareto front have an empty intersection if the Pareto front is circularly convex. But the points of the best approximation are equally spaced and they rapidly approach the Pareto front for increasing size of the approximation.
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Evolving Smoothing Kernels for Global Optimizationter optimization of an objective function. For two test applications we derive and show their . to larger problems. Most strikingly, the original DEM failed on a number of the test instances to find the global optimum while our transferable kernels – obtained via evolutionary computations – were able to find the global optimum.
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Challenging Anti-virus Through Evolutionary Malware Obfuscationes. This article describes a novel method for malware obfuscation based an evolutionary opcode generator and a special ad-hoc packer. The results can be used by the security industry to test the ability of their system to react to malware mutations.
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Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems assess the performance of our approaches in three tasks involving groups of e-puck-like robots, and we show that they facilitate: (i) controllers with higher performance, (ii) faster evolution in terms of wall-clock time, (iii) more consistent group-level performance, and (iv) more robust, well-adapted controllers.
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On-line Evolution of Foraging Behaviour in a Population of Real Robotssystem. Further to the specific results we also advocate the system itself. It provides an example of a replicable and affordable experimental set-up for other researches to engage in research into on-line evolution in a population of real robots.
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Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Populatioupport the use of . techniques to inject new material into a population. By replacing the random infusion mechanism used in many optimisation algorithms, the GDO guides the containing algorithm towards creating new individuals in sparsely visited areas of the search space. Experimental tests were pe
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