Uncertainty management in simulation-optimization of complex systems : algorithms and applications
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Bibliographic Information
Uncertainty management in simulation-optimization of complex systems : algorithms and applications
（Operations research/computer science interface series, v. 59）
Springer, 2015
- : softcover
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Includes bibliographical references
Description and Table of Contents
Description
This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together - as chapter contributors - researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors' goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.
Table of Contents
Part I: Advanced Tutorials.- Supporting Time-Critical Decision Making with Real Time Simulations.- Metamodel-based Robust Simulation-Optimization: An Overview.- Simulation-Based Modelling of a Stochastic Equilibrium.- Part II: Uncertainty Management Using Sequential Parameter Optimization.- A Review on Global Sensitivity Analysis Methods.- Connections Among Optimization Models with Uncertainties, ABC and RBV.- Addressing Uncertainty in Complex Systems. The Case of Bio-Based Products Derived from Urban Bio-Waste Valorisation.- Part III: Methods and Applications.- Global Optimization of Simulation Based Complex Systems.- Personnel Scheduling in Queues with Time-Varying Arrival Rates: Applications of Simulation-Optimization.- Stochastic Dual Dynamic Programming Solution of a Short-Term Disaster Management Problem.- Optimal Stock Allocation in Single Echelon Inventory Systems Subject to a Service Constraint.
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