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Stochastic Optimization Methods: Applications in Engineering and Operations Research

differentiation formulas for probabilities and expectations. In the third edition, this book further develops stochastic optimization methods;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Stochastic Optimization

related topics. Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering;

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Computer Aided Methods In Optimal Design And Operations

range of optimization methods - deterministic, stochastic, global and hybrid - are considered.Containing papers presented at the bilateral;

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Designing Engineering Structures using Stochastic Optimization Methods

optimization using stochastic methods. It introduces students and design engineers to practical aspects of complicated mathematical optimization;

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Stochastic Optimization Techniques

volume of the 4th GAMM/IFIP-Workshop on Stochastic Optimization: Numerical Methods and Technical Applications held June 27-29, 2000 at the;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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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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Global Optimization

study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an;

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Recent Advances In Stochastic Operations Research Ii

. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models;

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Stochastic Process Optimization using Aspen Plus (R)

. In this book, the combined use of the modular simulator Aspen (R) Plus and stochastic optimization methods, codified in MATLAB, is presented. Some;

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Stochastic Process Optimization using Aspen Plus (R)

combined use of the modular simulator Aspen (R) Plus and stochastic optimization methods, codified in MATLAB, is presented. Some basic concepts;

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Stochastic Recursive Algorithms for Optimization

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement;

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Industrial Engineering and Operations Management

. Given its scope, the book offers a valuable resource for those engaged in optimization research, operations research, and practitioners alike.;

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Stochastic Global Optimization

, thus, shows significant promise and potential for process optimization.So far, there are no books focusing on stochastic global optimization;

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Differential Evolution

Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and;

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Operations Research Methodologies

A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified;

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Operations Research

decision-making and work efficiency. The different sub-fields of operations research are stochastic models, computing and information technology;

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Optimization in Engineering Sciences

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems;

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Nonlinear and Mixed-Integer Optimization

This books presents the fundamentals of nonlinear and mixed-integer optimization, and their applications in the important area of process;

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Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it;

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Perspectives on Operations Research

are clustered into four parts, focusing on optimization issues, applications of Operations Research in production and service management;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Algorithms for Optimization

; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the;

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Differential Evolution In Chemical Engineering

Optimization plays a key role in the design, planning and operation of chemical and related processes for several decades. Techniques for;

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