Adaptive stochastic optimization techniques with applications

✍ Scribed by Momoh, James A

Publisher: CRC Press
Year: 2016
Tongue: English
Leaves: 430
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content: Part 1: Classical Optimization TechniquesStatic Optimization OverviewDefinitionApplications of Static OptimizationConstraints and Limitation of Static Optimization TechniquesTools/Solution TechniquesDynamic Optimization Techniques and Optimal ControlDefinitionStrengths and Limitations of Dynamic Optimization TechniquesFunctional Optimization or Dynamic Programming (DP)Optimal ControlPontryagin Minimum PrincipleDecision Analysis ToolsConcepts and Definitions for Decision AnalysisDecision Analysis (DA)Analytical Hierarchical Programming (ARP)Analytical Network Process (ANP)Cost/Benefit Analysis (CBA)Risk AssessmentGame TheoryIntelligent SystemExpert SystemsFuzzy Logic SystemsArtificial Neural NetworksGenetic AlgorithmEvolutionary Programming/Heuristic OptimizationParticle Swann OptimizationAnt Colony OptimizationTabu SearchAnnealing MethodPareto Multiples OptimizationAdaptive Dynamic Programming (ADP)OverviewStrengths and Limitations of ADPVariants of ADPImplementation ApproachADP Formulation Part 2: Applications to Power SystemsIntroduction to Power System ApplicationsOverview of Power System ApplicationsAnalysis of Possible Optimization TechniquesOPFFormulationVariantsChallengesSolution TechniquesDesignVulnerabilityStabilityReal Time AssessmentLimitationsFramework for DesignSchedulingFormulationAlgorithm for Multiple ObjectivesTools / Proposed ApproachesPricingFormulationStatic vs. Dynamic ApplicationsTools / Proposed ApproachesUnit CommitmentFormulationVariants: Static vs. Dynamic ApplicationsAlgorithm and Computational StrategyControl & Voltage/ VAR regulationFormulationVariantsLimitationsAlgorithms and Computational StrategySmart Grid and Adaptive Dynamic Stochastic Optimization ApplicationEvaluation of stochastic optimization for smart grid designImplementation system

✦ Subjects

Математика;Методы оптимизации;

📜 SIMILAR VOLUMES

Adaptive Stochastic Optimization Techniq

📁 Adaptive Stochastic Optimization Techniques with Applications

✍ James A. Momoh (Author) 📂 Library 📅 2015 🏛 CRC Press

<p>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, dec

Stochastic Global Optimization and Its A

📁 Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing

✍ Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>Stochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult probl

Stochastic Global Optimization and Its A

📁 Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing

✍ Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Stochastic Optimization: Numerical Metho

📁 Stochastic Optimization: Numerical Methods and Technical Applications

✍ Sjur D. Flåm (auth.), Prof. Dr. Kurt Marti (eds.) 📂 Library 📅 1992 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This volume includes a selection of refereed papers presented at the GAMM/IFIP-Workshop on "Stochastic Optimization: Numerical Methods and Technical Applications", held at the Federal Armed Forces University Munich,May 29 - 31, 1990. The objective of this meeting was to bring together scientists fro

Optimization techniques and applications

📁 Optimization techniques and applications with examples

✍ Yang, Xin-She 📂 Library 📅 2018 🏛 John Wiley & Sons 🌐 English

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences' Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques'in

Optimization techniques and applications

📁 Optimization techniques and applications with examples

✍ Yang, Xin-She 📂 Library 📅 2018 🏛 John Wiley & Sons 🌐 English