Free BookAdaptive Stochastic Optimization Techniques with Applications

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Published on: 2015-12-02
Released on: 2015-12-02
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Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary programming, heuristic optimization, stochastic and adaptive dynamic programming, and adaptive critics, this book:Evaluates optimization methods for handling operational planning, Voltage/VAr, control coordination, vulnerability, reliability, resilience, and reconfiguration issuesIncludes mathematical formulations, algorithms for implementation, illustrative engineering examples, and case studies from actual power systemsDiscusses the limitations of current optimization techniques in meeting the challenges of smart electric gridsAdaptive Stochastic Optimization Techniques with Applications describes cutting-edge optimization methods used to address large-scale system problems applicable to power, energy, communications, transportation, and economics. Genetic algorithm - Wikipedia In computer science and operations research a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class ... Modeling and Simulation - ubalt.edu Systems Simulation: The Shortest Route to Applications. This site features information about discrete event system modeling and simulation. It includes discussions on ... Robust Control Theory and Applications InTechOpen Engineering Control Engineering Robust Control Theory and Applications. Edited by Andrzej Bartoszewicz ISBN 978-953-307-229-6 692 pages Publisher: InTech ... Accepted Papers ICML New York City We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First we prove that the popular model of Dawid ... Tutorials ICML New York City All tutorials have been recorded and will be available after the conference. All tutorials at a glance. Click on the title of any tutorial to get to the tutorials ... An overview of gradient descent optimization algorithms Note: If you are looking for a review paper this blog post is also available as an article on arXiv. Table of contents: Gradient descent variants Monte Carlo method - Wikipedia Monte Carlo methods are very important in computational physics physical chemistry and related applied fields and have diverse applications from complicated ... Submitted Open Invited Tracks IFAC 2017 World Congress ... Summary of all submitted open invited tracks (by CC order) To submit a contribution to an open invited track follow the submission procedure using the given track code. Advanced Neural Network Software for Financial Forecasting ... Adaptive Net Indicators - neural nets especially adapted to pattern recognition some of which automatically include lags of inputs. Global Optimization -- from Wolfram MathWorld The objective of global optimization is to find the globally best solution of (possibly nonlinear) models in the (possible or known) presence of multiple local ...
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