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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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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under;

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Multistage Stochastic Optimization

Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Introduction to Linear Organization and Extensions With MATLAB

point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic;

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Analytics and Optimization for Renewable Energy Integration

. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to;

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Analytics and Optimization for Renewable Energy Integration

. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to;

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Stochastic Programming

in their work optimization problems involving uncertainty. ;

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

-energy systems Considers uncertainty modeling for stochastic and robust optimization Assesses optimal operation and real-time;

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Robust Optimization in Electric Energy Systems

to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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Mathematical Optimization and Modeling

, optimization under uncertainty, applications of uncertainty, etc. are some of the topics discussed extensively in this book. As this field is emerging;

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Algorithms for Optimization

surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation;

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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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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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Proceedings of the Seventh International Forum on Decision Sciences

decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization;

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Proceedings of the Seventh International Forum on Decision Sciences

decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization;

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Proceedings of the Sixth International Forum on Decision Sciences

the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics;

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Robust Optimization

optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved;

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Applied Stochastic Hydrogeology

optimal TMDL allocation under uncertainty and stochastic urban pluvial flood hazard maps based upon a spatial-temporal rainfall generator;

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Uncertainty in Complex Networked Systems

networked systems, their analysis and control under uncertainty, and robust designs. Contributors include authorities on uncertainty in systems;

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Recent Advances In Stochastic Operations Research

. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from;

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Stochastic Hydrology and Its Use in Water Resources Systems Simulation and Optimization

for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems.;

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