Titlebook: General-Purpose Optimization Through Information Maximization; Alan J. Lockett Book 2020 Springer-Verlag GmbH Germany, part of Springer Na

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Grundlagen der Informationstechnik,k-box property, the Markov property, and the convolution operator. In the next few chapters, the pursuit of a formal theory of these objects is paused in order to demonstrate the applicability of these objects and properties to common search methods, from simulated annealing to differential evolutio

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Einleitung und theoretische Grundlagen,ted as mathematical objects. In this context, the main contributions of this book are (1) the formalization of iterative stochastic optimization methods leading to theoretical results such as the No Free Lunch Identification Theorems and the Information- Maximization Principle, including the introdu

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Artwork Creation and Drawing Tips,In Chapter 13, an optimization method was shown to achieve its best performance on a given problem by making full use of the information about the objective function obtained from function evaluations, and martingale optimizers were proposed as a consequence.