Titlebook: Klinische Endokrinologie für Frauenärzte; Thomas Strowitzki,Olaf Ortmann Book 2024Latest edition Der/die Herausgeber bzw. der/die Autor(en

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https://doi.org/10.1007/978-3-662-65517-7Endokrinologie; Gynäkologie; HRT; Kontrazeption; Menopause; Reproduktionsmedizin; Hormone; Ovarfunktion; Sch

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in manufacturing systems. This paper focuses on a dynamic JSS problem to minimise the total weighted tardiness. In dynamic JSS, attributes of a job are only revealed after it arrives at the shop floor. Dispatching rule heuristics are prominent approaches to dynamic JSS problems, and Genetic Programm

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T. Gudermann,I. Boekhoffimate of the input probability density function, based on the one-class input data. This can be used for anomaly detection: query points are classed as anomalies if their density is below some threshold. The disadvantage is that kernel density estimation is lazy, that is the bulk of the computation

projectile

O. Hiort,T. Strowitzkimultaneously a solution and sub-parts of it within a GP framework. This problem is a crucial point in GP research lately since this is intimately linked with building blocks existence problem. Thus, in this paper, we present an “on-going” work concerning .. — Dynamic Lattice Genetic Programming— a n

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M. Ludwig,J. M. Weissning of multiple joint parameters of the manipulator to reach a desired position in the Cartesian space. We present a new approach to identify a closed-form solution for the Inverse Kinematics (IK) problem, namely IK-CCGP. The novelty of IK-CCGP is the cooperative coevolutionary learning strategy. U

inspiration

M. Ludwig real-world software development this method could also be used, as a programmer could first define the input/output examples for a certain problem and then let genetic programming generate the functional source code. However, a prerequisite for using genetic programming as support system in real-wo