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Stochastic Simulation Optimization For Discrete Event Systems

of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and;

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Introduction to Discrete Event Systems

models for discrete event systems and controlled Markov chains discrete event simulation an introduction to stochastic hybrid systems;

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Modern Simulation And Modeling

A step-by-step guide for today's modeling and simulation practices This new guide for modeling and simulation of discrete-event systems;

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Performance Evaluation of Industrial Systems

Basic approaches to discrete simulation have been process simulation languages (e.g., GPSS) and event-scheduling type (e.g., SIMSCRIPT;

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Stochastic Simulation Optimization

comprehensive coverage of OCBA approach for stochastic simulation optimization. Starting with an intuitive explanation of computing budget allocation;

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Use Cases of Discrete Event Simulation

them about current applications. By focusing on discrete event simulation, this book can also serve as an inspiration source for practitioners;

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Simulation-Based Optimization

dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event;

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Operations Research and Simulation in Healthcare

This book presents work on healthcare management and engineering using optimization and simulation methods and techniques. Specific topics;

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Discrete and Continuous Simulation

systems, covering the basics in detail and exploring the diverse aspects, including continuous event simulation and optimization with simulation;

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Discrete and Continuous Simulation

systems, covering the basics in detail and exploring the diverse aspects, including continuous event simulation and optimization with simulation;

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Discrete-Event Modeling and Simulation

in a modular manner, allowing for model re-use and reduced development time. Discrete Event Modeling and Simulation presents a practical;

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Discrete-Event System Simulation

For junior- and senior-level simulation courses in engineering, business, or computer science. While most books on simulation focus on;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field;

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Discrete-Event System Simulation

Discrete Event System Simulationis ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It;

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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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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Optimal Networked Control Systems with MATLAB

derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB (R) codes are included for each case. The book;

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Optimal Networked Control Systems With MATLAB

programming Explores stochastic optimal design for nonlinear two-player zero-sum games under communication constraints Treats an event-sampled;

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Stochastic Optimization with Simulation Based Optimization

. In comparison with existing simulation based optimization methods, the proposed framework leads to better solutions especially for problems with high;

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Discrete Event Hybrid Systems in Robotics & Automation

exclusively limited to linear system models. Computer simulation of non-linear hybrid and discrete-event models provide a means for online design;

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Business Process Modeling, Simulation and Design

simulation, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on;

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Business Process Modeling, Simulation and Design

, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on the intricacies;

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Advancement in Discrete Event Simulation

The technique of Discrete Event Simulation (DES) has received acclaim and attention from practitioners as well as researchers. The range;

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Optimization of Logistics

tools (Petri nets, the Markov process, discrete event simulation, etc.) and optimization techniques (branch-and-bound, dynamic programming;

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Discrete-Event System Simulation

Appropriate for junior- senior-level Simulation courses in departments of Engineering, Management and Computer Science; or a second course;

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Discrete Event Simulation

administration, and management science. The presentation of techniques and methods in Discrete Event Simulation make it an ideal text/reference for all;

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