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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Intelligent Control

approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic;

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Stochastic Global Optimization

area - bridges the gap in this subject, with the aim of highlighting and popularizing stochastic global optimization techniques for chemical;

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Differential Evolution In Chemical Engineering

solving optimization problems are of deterministic or stochastic type. Of these, stochastic techniques can solve any type of optimization problems;

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Robust Optimization in Electric Energy Systems

This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect;

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Stochastic Process Optimization using Aspen Plus (R)

on how to implement stochastic optimization with process simulators. * Enable readers to identify practical and economic solutions to;

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Stochastic Process Optimization using Aspen Plus (R)

. Key Features: * The book links simulation and optimization through numerical analyses and stochastic optimization techniques * Includes;

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Adaptive Digital Filters

This text emphasizes the intricate relationship between adaptive filtering and signal analysis - highlighting stochastic processes, signal;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor;

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Designing Engineering Structures using Stochastic Optimization Methods

designed. Many new engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis;

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Electric Power System Applications of Optimization

theoretical background of optimization from a practical power system point of view, exploring advanced techniques, new directions, and continuous;

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Electric Power System Applications of Optimization

theoretical background of optimization from a practical power system point of view, exploring advanced techniques, new directions, and continuous;

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Stochastic Optimization Techniques

Optimization problems arising in practice mostly contain several random parameters. Hence, in order to get robust optimal solutions with;

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Optimization In Chemical Engineering

, Levenberg-Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective;

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Introduction To Stochastic Search And Optimization

A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast;

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Reliability Modeling With Applications

to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques;

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Real Time Optimization by Extremum-seeking Control

potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: Develops optimization theory from;

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Introduction to Linear Organization and Extensions With MATLAB

programming with recourse and robust optimization. The author introduces both stochastic programming and robust optimization as frameworks to deal;

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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Analytical and Stochastic Modeling Techniques and Applications

-aware optimization; stochastic modeling for systems biology; biologically inspired network design.;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Optimization Under Stochastic Uncertainty

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease;

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Optimization Under Stochastic Uncertainty

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Operations Research Methodologies

emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each;

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