Titlebook: JIMD Reports, Volume 27; Eva Morava,Matthias Baumgartner,Verena Peters Book 2016 SSIEM and Springer-Verlag Berlin Heidelberg 2016 inherite

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The Newborn Screening Paradox: Sensitivity vs. Overdiagnosis in VLCAD Deficiency,e cutoff to ≥0.023 resulted in a sensitivity of 93% and a positive predictive value of 37%. The sensitivity of the previously used screening approach (C14:1 ≥0.8) was 50%...: This study shows that the ratio C14:1/C2 is a more sensitive marker than C14:1 for identifying VLCADD patients in NBS. Howeve

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t is desired that an MOEA generates MOP solutions in . which provide a trade-off of performance (efficiency, effectiveness) for specific system model objectives (cost/profit, constraints, etc.) that may mutually conflict. For example, the classical multiobjective knapsack problem (profit and weight)

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Ghadi Antoun,Skye McBride,Jason R. Vanstone,Turaya Naas,Jean Michaud,Stephanie Redpath,Hugh J. McMils, considerable effort must be spent not only in defining proper MOP tests and in generating the proper design of MOEA experiments, but also in employing the appropriate performance measures and experiment conditions, as well as the proper statistical tools that allow a fair algorithmic comparison.

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Paula Fernandez-Guerra,M. Lund,T. J. Corydon,N. Cornelius,N. Gregersen,J. Palmfeldt,Peter Brosses basic principles of EAs and provides someeasy-to-understand examples. Furthermore, a theoretical model formulti-objective optimization is presented. In the second part asoftware implementation of EAs is supplied together with detaileddescriptions of several EA applications. These applications cover awide r978-1-4419-5040-6978-1-4757-2866-8

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Roeltje R. Maas,Adela Della Marina,Arjan P. M. de Brouwer,Ron A. Wevers,Richard J Rodenburg,Saskia Brinciples of EAs and provides someeasy-to-understand examples. Furthermore, a theoretical model formulti-objective optimization is presented. In the second part asoftware implementation of EAs is supplied together with detaileddescriptions of several EA applications. These applications cover awide r

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Emma S. Reid,Hywel Williams,Polona Le Quesne Stabej,Chela James,Louise Ocaka,Chiara Bacchelli,Emma Jaracteristic may be used to reduce the generally higher CPU-requirements of population-based search methods like GA as opposed to point-based traditional optimisation techniques in stochastic problems. Though being in good agreement with earlier empirical results on sampling based evaluation, this i