Titlebook: Handbuch Industrie 4.0; Band 3: Logistik Michael ten Hompel,Thomas Bauernhansl,Birgit Vogel Book 2020Latest edition Springer-Verlag GmbH De

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Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2020

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Genetics

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onomic system, since no explicit structure of the model is given. In many instances the special structure of a certain economic model allows considerably more precise insights into the behavior of individuals in such a situation than a more abstract game theoretic model. This holds also in particula

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genetic algorithms. In this chapter we will deal with a new problem, which has not been dealt with in this literature.. The analytical models presented in chapter 3 all assume that the genetic algorithm is used to solve an optimization problem for an exogenously given fitness function. However, thi

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for inductive learning of polynomial neural network mod- els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main clai