Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
The Robust Network Design Problem A Game Theory Approach To Account For Capacity Uncertainty
Download The Robust Network Design Problem A Game Theory Approach To Account For Capacity Uncertainty full books in PDF, epub, and Kindle. Read online The Robust Network Design Problem A Game Theory Approach To Account For Capacity Uncertainty ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Robust Network Design Problem: A Game Theory Approach to Account for Capacity Uncertainty by : Nikolaos Deligiannis
Download or read book The Robust Network Design Problem: A Game Theory Approach to Account for Capacity Uncertainty written by Nikolaos Deligiannis and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: National as well as state economies are contingent on their transport network reliability. Traffic demand levels are constantly on the rise and there is an urging request, by network users, for free flow travel, even if parts of the road network are congested or disrupted. To assist the evaluation, design and monitoring of road networks, existing network reliability analysis methods and techniques, should be further developed, not only from the theoretical stand point, but also for practical application. This study has examined literature on network reliability evaluation methods, approaches and metrics in order to provide a brief listing of the most cited work. In this effort, sources of other disciplines (besides Transportation Engineering) have been reviewed in an effort to explore and propose possible methods and techniques that have not been implemented in road network reliability to date. The study also proposes a game theoretical modeling approach to account for capacity uncertainty, and help decision makers to choose the optimal investment plan over all possible scenarios.
Book Synopsis Robust and Stochastic Approaches to Network Capacity Design Under Demand Uncertainty by : Francis Garuba
Download or read book Robust and Stochastic Approaches to Network Capacity Design Under Demand Uncertainty written by Francis Garuba and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robustness Concepts for Knapsack and Network Design Problems under Data Uncertainty by : Manuel Kutschka
Download or read book Robustness Concepts for Knapsack and Network Design Problems under Data Uncertainty written by Manuel Kutschka and published by Cuvillier Verlag. This book was released on 2013-12-16 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is concerned with mathematical optimization under data uncertainty using mixed integer linear programming (MILP) techniques. Our investigations follow the deterministic paradigm known as robust optimization. It allows to tackle an uncertain variant of a problem without increasing its complexity in theory or decreasing its computational tractability in practice. We consider four robustness concepts for robust optimization and describe their parametrization, application, and evaluation. The concepts are Γ-robustness, its generalization multi-band robustness, the more general submodular robustness, and the two-staged adaptive approach called recoverable robustness. For each concept, we investigate the corresponding robust generalization of the knapsack problem (KP), a fundamental combinatorial problem and subproblem of almost every integer linear programming (ILP) problem, and many other optimization problems. We present ILP formulations, detailed polyhedral investigations including new classes of valid inequalities, and algorithms for each robust KP. In particular, our results for the submodular and recoverable robust KP are novel. Additionally, the recoverable robust KP is experimentally evaluated in detail. Further, we consider the Γ-robust generalization of the capacitated network design problem (NDP). For example, the NDP arises from many application areas such as telecommunications, transportation, or logistics. We present MILP formulations, detailed polyhedral insights with new classes of valid inequalities, and algorithms for the Γ-robustness NDP. Moreover, we consider the multi-band robust NDP, its MILP formulations, and generalized polyhedral results of the Γ- robustness NDP. Finally, we present computational results for the Γ-robustness NDP using real-world measured uncertain data from telecommunication networks. These detailed representative studies are based on our work with the German ROBUKOM project in cooperation with Partner Nokia Siemens Networks GmbH & Co. KG. Die vorliegende Dissertation untersucht mathematische Optimierung unter Unsicherheiten mittels Methoden der gemischt-ganzzahligen linearen Programmierung (MILP). Dabei folgen wir dem deterministischen Paradigma der robusten Optimierung. Dieses ermöglicht die Lösung unsicherer Problemvarianten ohne Erhöhung der theoretischen Komplexität oder Verschlechterung der praktischen Lösbarkeit. Wir untersuchen vier Robustheitskonzepte und beschreiben deren Parametrisierung, Anwendung, und Evaluierung. Die untersuchten Konzepte sind Γ-Robustheit (engl. Γ-robustness), deren neue Verallgemeinerung Multi-Band-Robustheit (engl. multi-band robustness), die neue allgemeinere submodulare Robustheit (engl. submodular robustness), sowie der adaptive zweistufige Ansatz der wiederherstellbaren Robustheit (engl. recoverable robustness) Für jedes Konzept untersuchen wir die entsprechende robuste Verallgemeinerung des Rucksackproblems (engl. knapsack problem) (KP), eines der fundamentalen kombinatorischen Probleme und Teilproblem fast jeden Problems der ganzzahligen linearen Programmierung (ILP) und vieler anderer Optimierungsprobleme. Wir präsentieren ILP-Formulierungen, detaillierte polyedrische Studien mit neuen Klassen gültiger Ungleichungen und Algorithmen für jedes robuste KP. Dabei sind insbesondere unsere Ergebnisse für das submodular- und wiederherstellbar-robuste KP neuartig. Zusätzlich evaluieren wir das wiederherstellbar- robuste KP experimentell in einer detaillierten Rechenstudie. Außerdem betrachten wir die Γ-robuste Verallgemeinerung des kapazitierten Netzwerkplanungsproblems (engl. capacitated network design problem) (NDP). Das NDP ist z. B. in Anwendungsproblemen aus den Bereichen Telekommunikation, Transport oder Logistik zu finden. Für das Γ-robuste NDP präsentieren wir MILP-Formulierungen, detaillierte polyedrische Ergebnisse, neue Klassen gültiger Ungleichungen und Algorithmen. Zusätzlich untersuchen wir das Multi-Band-robuste NDP, dessen MILP-Formulierungen, sowie dessen polyedrische Struktur als Verallgemeinerung des Γ-robusten NDP. Abschließend präsentieren wir detaillierten Rechenstudien zum Γ-robusten NDP mit real gemessenen unsicheren Daten verschiedener Telekommunikationsnetze. Diese repräsentativen Rechenergebnisse basieren auf unserer Arbeit im Projekt ROBUKOM in Kooperation mit Nokia Siemens Networks GmbH & Co. KG.
Book Synopsis Stochastic Game Theory Approach to Robust Synthetic Gene Network Design by : Bor-Sen Chen
Download or read book Stochastic Game Theory Approach to Robust Synthetic Gene Network Design written by Bor-Sen Chen and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Game Theory Approach to Robust Synthetic Gene Network Design.
Author :Johannes Franciscus Maria Koppenjan Publisher :Psychology Press ISBN 13 :9780415369404 Total Pages :312 pages Book Rating :4.3/5 (694 download)
Book Synopsis Managing Uncertainties in Networks by : Johannes Franciscus Maria Koppenjan
Download or read book Managing Uncertainties in Networks written by Johannes Franciscus Maria Koppenjan and published by Psychology Press. This book was released on 2004 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite sophisticated technology and knowledge, the strategic networks and games required to solve uncertainties becomes more complex and more important than ever before.
Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer
Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Book Synopsis Supply Chain Management and Corporate Governance by : Catherine Xiaocui Lou
Download or read book Supply Chain Management and Corporate Governance written by Catherine Xiaocui Lou and published by Taylor & Francis. This book was released on 2022-07-29 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation is the first innovative, comprehensive analysis and analytical robust optimisation modelling of the relationships between corporate governance principles and supply chain management for risk management and decision-making under uncertainty in supply chain operations. To avoid corporate failures and crises caused by agency problems and other external factors, effective corporate governance mechanisms are essential for efficient supply chain management. This book develops a new collaborative robust supply chain management and corporate governance (RSCMCG) model and framework that combines good corporate governance practices for risk management strategies and decision-making under uncertainty. This model is developed as a principal–agent game theory model, and it is digitalised and computed by Excel algorithms and spreadsheets as an artificial intelligence and machine-learning algorithm. The implementation of the RSCMCG model provides optimal supply chain solutions, corporate governance principles and risk management strategies for supporting the company to achieve long-term benefits in firm value and maximising shareholders’ interests and corporate performance while maintaining robustness in an uncertain environment. This book shows the latest state of knowledge on the topic and will be of interest to researchers, academics, practitioners, policymakers and advanced students in the areas of corporate governance, supply chain management, finance, strategy and risk management.
Book Synopsis Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities by : Derui Ding
Download or read book Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities written by Derui Ding and published by CRC Press. This book was released on 2018-10-11 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability
Book Synopsis Game Theory in Wireless and Communication Networks by : Zhu Han
Download or read book Game Theory in Wireless and Communication Networks written by Zhu Han and published by Cambridge University Press. This book was released on 2012 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unified 2001 treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communications networks. The key results and tools of game theory are covered, as are various real-world technologies and a wide range of techniques for modeling, design and analysis.
Book Synopsis Energy Storage in Energy Markets by : Behnam Mohammadi-Ivatloo
Download or read book Energy Storage in Energy Markets written by Behnam Mohammadi-Ivatloo and published by Academic Press. This book was released on 2021-04-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Storage in Energy Markets reviews the modeling, design, analysis, optimization and impact of energy storage systems in energy markets in a way that is ideal for an audience of researchers and practitioners. The book provides deep insights on potential benefits and revenues, economic evaluation, investment challenges, risk analysis, technical requirements, and the impacts of energy storage integration. Heavily referenced and easily accessible to policymakers, developers, engineer, researchers and students alike, this comprehensive resource aims to fill the gap in the role of energy storage in pool/local energy/ancillary service markets and other multi-market commerce. Chapters elaborate on energy market fundamentals, operations, energy storage fundamentals, components, and the role and impact of storage systems on energy systems from different aspects, such as environmental, technical and economics, the role of storage devices in uncertainty handling in energy systems and their contributions in resiliency and reliability improvement. Provides integrated techno-economic analysis of energy storage systems and the energy markets Reviews impacts of electric vehicles as moving energy storage and loads on the electricity market Analyzes the role and impact of energy storage systems in the energy, ancillary, reserve and regulatory multi-market business Applies advanced methods to the economic integration of large-scale energy storage systems Develops an evaluation framework for energy market storage systems
Book Synopsis Handbook of Combinatorial Optimization by : Ding-Zhu Du
Download or read book Handbook of Combinatorial Optimization written by Ding-Zhu Du and published by Springer Science & Business Media. This book was released on 2006-08-18 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set. It can also be regarded as a stand-alone volume presenting chapters dealing with various aspects of the subject in a self-contained way.
Book Synopsis Twenty Lectures on Algorithmic Game Theory by : Tim Roughgarden
Download or read book Twenty Lectures on Algorithmic Game Theory written by Tim Roughgarden and published by Cambridge University Press. This book was released on 2016-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.
Book Synopsis Decision Making under Deep Uncertainty by : Vincent A. W. J. Marchau
Download or read book Decision Making under Deep Uncertainty written by Vincent A. W. J. Marchau and published by Springer. This book was released on 2019-04-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Book Synopsis Robust Optimization by : Aharon Ben-Tal
Download or read book Robust Optimization written by Aharon Ben-Tal and published by Princeton University Press. This book was released on 2009-08-10 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected 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 efficiently; and to provide guarantees about the performance of the solution. The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems. The theory is supported by numerous examples and computational illustrations. An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.
Book Synopsis Control, operation and trading strategies of intermittent renewable energy in smart grids by : Dongliang Xiao
Download or read book Control, operation and trading strategies of intermittent renewable energy in smart grids written by Dongliang Xiao and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Anomaly Detection Technologies and Applications in Energy Systems by : Tinghui Ouyang
Download or read book Advanced Anomaly Detection Technologies and Applications in Energy Systems written by Tinghui Ouyang and published by Frontiers Media SA. This book was released on 2022-10-14 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis XIV International Scientific Conference “INTERAGROMASH 2021" by : Alexey Beskopylny
Download or read book XIV International Scientific Conference “INTERAGROMASH 2021" written by Alexey Beskopylny and published by Springer Nature. This book was released on 2021-10-30 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.
