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Titlebook: Applications of Evolutionary Computation; 18th European Confer Antonio M. Mora,Giovanni Squillero Conference proceedings 2015 Springer Inte

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Katherine Travis,Neville H. Golden particular case of cancer, the use of mass spectrometry data has become very popular but some problems arise due to that the number of mass-to-charge ratios exceed by a huge margin the number of patients in the samples. In order to deal with the high dimensionality of the data, most works agree wit
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Katherine Travis,Neville H. Goldendesign proteins of new functions. The Inverse Folding Problem (IFP) is in itself an important research problem, but also at the heart of most rational protein design approaches. In brief, the IFP consists in finding sequences that will fold into a given structure, rather than determining the structu
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Encyclopedia of Feeding and Eating Disordershere numerous moving agents carry mobile devices that create a peer-to-peer network without authentication. A requirement for the proper functioning of such networks is that all the peers act legitimately, forwarding the needed messages, and concurring to the maintenance of the network connectivity.
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Katherine Travis,Neville H. Golden or users in Wideband Code Division Multiple Access (WCDMA) mobile networks. In particular, we propose: (1) A novel cost function (to be minimized) that contains, in addition to the common load factors, other utilization ratios for aggregate capacity, codes, power, and users without service. (2) A n
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https://doi.org/10.1007/978-981-287-104-6is the main design constraint, the classifier is constructed as a combinational circuit in a field programmable gate array. The classification is performed using the first packet carrying the application payload. In order to further reduce the latency, the circuit is optimized by Cartesian genetic p
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https://doi.org/10.1007/978-981-287-104-6 EO approach is used which is parallelized and extended by a guided search of next solution state. EO detects the best strategy of tasks migration leading to a reduction in program execution time. We assume a parallel improvement of the EO algorithm with guided state changes which provides a paralle
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Jennifer D. Lundgren,Ashleigh Ponas a graph. The tour is automatically designed by maximizing the number of the Points of Interest (.s) to visit as a function of both tourists’ preferences and requirements, and constraints such as opening hours, visiting times and accessibility of the .s, and weather forecasting. Since this itineray
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