Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Planning Under Uncertainty
Download Planning Under Uncertainty full books in PDF, epub, and Kindle. Read online Planning Under 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 Planning Under Uncertainty by : Gerd Infanger
Download or read book Planning Under Uncertainty written by Gerd Infanger and published by Boyd & Fraser Publishing Company. This book was released on 1994 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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 Artificial Intelligence Today by : Michael J. Wooldridge
Download or read book Artificial Intelligence Today written by Michael J. Wooldridge and published by Springer Science & Business Media. This book was released on 1999-08-18 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is one of the most fascinating and unusual areas of academic study to have emerged this century. For some, AI is a true scientific discipline, that has made important and fundamental contributions to the use of computation for our understanding of nature and phenomena of the human mind; for others, AI is the black art of computer science. Artificial Intelligence Today provides a showcase for the field of AI as it stands today. The editors invited contributions both from traditional subfields of AI, such as theorem proving, as well as from subfields that have emerged more recently, such as agents, AI and the Internet, or synthetic actors. The papers themselves are a mixture of more specialized research papers and authorative survey papers. The secondary purpose of this book is to celebrate Springer-Verlag's Lecture Notes in Artificial Intelligence series.
Book Synopsis Defense Resource Planning Under Uncertainty by : Robert J. Lempert
Download or read book Defense Resource Planning Under Uncertainty written by Robert J. Lempert and published by Rand Corporation. This book was released on 2016-01-29 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defense planning faces significant uncertainties. This report applies robust decision making (RDM) to the munitions mix challenge, to demonstrate how RDM could help defense planners make plans more robust to a wide range of hard-to-predict futures.
Book Synopsis Planning Algorithms by : Steven M. LaValle
Download or read book Planning Algorithms written by Steven M. LaValle and published by Cambridge University Press. This book was released on 2006-05-29 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.
Book Synopsis Biomass to Biofuel Supply Chain Design and Planning under Uncertainty by : Mir Saman Pishvaee
Download or read book Biomass to Biofuel Supply Chain Design and Planning under Uncertainty written by Mir Saman Pishvaee and published by Academic Press. This book was released on 2020-11-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design. - Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products - Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions - Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations - Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters
Book Synopsis Automated Planning by : Malik Ghallab
Download or read book Automated Planning written by Malik Ghallab and published by Elsevier. This book was released on 2004-05-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description
Book Synopsis Biomass to Biofuel Supply Chain Design and Planning under Uncertainty by : Mir Saman Pishvaee
Download or read book Biomass to Biofuel Supply Chain Design and Planning under Uncertainty written by Mir Saman Pishvaee and published by Academic Press. This book was released on 2020-12-14 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomass to Biofuel Supply Chain Design and Planning under Uncertainty: Concepts and Quantitative Methods explores the design and optimization of biomass-to-biofuel supply chains for commercial-scale implementation of biofuel projects by considering the problems and challenges encountered in real supply chains. By offering a fresh approach and discussing a wide range of quantitative methods, the book enables researchers and practitioners to develop hybrid methods that integrate the advantages and features of two or more methods in one decision-making framework for the efficient optimization of biofuel supply chains, especially for complex supply chain models. Combining supply chain management and modeling techniques in a single volume, the book is beneficial for graduate students who no longer need to consult subject-specific books alongside mathematical modeling textbooks. The book consists of two main parts. The first part describes the key components of biofuel supply chains, including biomass production, harvesting, collection, storage, preprocessing, conversion, transportation, and distribution. It also provides a comprehensive review of the concepts, problems, and opportunities associated with biofuel supply chains, such as types and properties of the feedstocks and fuel products, decision-making levels, sustainability concepts, uncertainty analysis and risk management, as well as integration of biomass supply chain with other supply chains. The second part focuses on modeling and optimization of biomass-to-biofuel supply chains under uncertainty, using different quantitative methods to determine optimal design. Proposes a general multi-level framework for the optimal design and operation of biomass-to-biofuel supply chains through quantitative analysis and modeling, including different biomass and waste biomass feedstock, production pathways, technology options, transportation modes, and final products Explores how modeling and optimization tools can be utilized to address sustainability issues in biofuel supply chains by simultaneously assessing and identifying sustainable solutions Presents several case studies with different regional constraints to evaluate the practical applicability of different optimization methods and compares their performance in real-world situations Includes General Algebraic Modeling System (GAMS) codes for solving biomass supply chain optimization problems discussed in different chapters
Book Synopsis Defence Planning and Uncertainty by : Stephan Frühling
Download or read book Defence Planning and Uncertainty written by Stephan Frühling and published by Routledge. This book was released on 2014-04-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can countries decide what kind of military forces they need, if threats are uncertain and history is full of strategic surprises? This is a question that is more pertinent than ever, as countries across the Asia-Pacific are faced with the military and economic rise of China. Uncertainty is inherent in defence planning, but different types of uncertainty mean that countries need to approach decisions about military force structure in different ways. This book examines four different basic frameworks for defence planning, and demonstrates how states can make decisions coherently about the structure and posture of their defence forces despite strategic uncertainty. It draws on case studies from the United States, Australian and New Zealand, each of which developed key concepts for their particular circumstances and risk perception in Asia. Success as well as failure in developing coherent defence planning frameworks holds lessons for the United States and other countries as they consider how best to structure their military forces for the uncertain challenges of the future.
Book Synopsis Planning Under Pressure by : John Friend
Download or read book Planning Under Pressure written by John Friend and published by Routledge. This book was released on 2012-05-23 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning under Pressure offers managers, planners, consultants and students a comprehensive and authoritative guide to the Strategic Choice Approach, which has gradually been attracting worldwide recognition as a fresh, versatile and practical approach to collaborative decision-making under uncertainty. Starting from basic principles, the book uses helpful diagrams and clear explanations to demonstrate practical ways of approaching daunting decision problems; of devising possible ways forward; and of working effectively towards agreed courses of action. Along he way, decision makers are helped to cope with diverse sources of uncertainty – technical, political, managerial – in a strategic manner. In this extended third edition, the authors have added short contributions from 21 users from seven countries. These new contributors present lessons from their varied experiences in adapting the Strategic Choice Approach to guide decision-making and learning in settings ranging from the re-routing of a controversial city carnival procession to national policy for the management of nuclear waste.
Download or read book Site Matters written by Andrea Kahn and published by Routledge. This book was released on 2020-12-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of the Anthropocene, site matters are more pressing than ever. Building on the concepts, theories, and multi-disciplinary approaches raised in the first edition, this publication strives to address the changes that have taken place over the last 15 years with new material to complement and re-position the initial volume. Reaching across design disciplines, this highly illustrated anthology assembles essays from architects, landscape architects, urban designers, planners, historians, and artists to explore ways to physically and conceptually engage site. Thoughtful discourse and empirically grounded pieces combine to provide the language and theory to contextualize the meanings of site in the built environment. The increasingly complex hybridity of constructed environments today demands new tools for thinking about and working with site. Drawing contributions from outside and within the traditional design disciplines, this edition will trace important developments in site thinking with new essays on topics such as climate change, landscape as infrastructure, shifts from global to planetary urbanization debates, and the proliferation of participatory site transformation practices. Edited by two leading practitioners and academics, Site Matters juxtaposes timeless contributions from individuals including Elizabeth Meyer, Robert Beauregard, and Robin Dripps with original new writings from Peter Marcuse, Jane Wolff, Neil Brenner, and Thaisa Way, amongst others, to recontextualize and reignite the debate around site. An ideal text for students, academics, and researchers interested in site and design theory.
Book Synopsis Optimization of Integrated Supply Chain Planning under Multiple Uncertainty by : Juping Shao
Download or read book Optimization of Integrated Supply Chain Planning under Multiple Uncertainty written by Juping Shao and published by Springer. This book was released on 2015-05-27 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is supply chain logistics planning optimization under multiple uncertainties, the key issue in supply chain management. Focusing on the strategic-alliance three-level supply chain, the model of supply chain logistics planning was established in terms of the market prices and the market requirements as random variables of manufactured goods with random expected value programming theory, and the hybrid intelligence algorithm solution model was designed. Aiming at the decentralized control supply chain, in which the nodes were unlimited expansion, the chance-constrained stochastic programming model was created in order to obtain optimal decision-making at a certain confidence level. In addition, the hybrid intelligence algorithm model was designed to solve the problem of supply chain logistics planning with the prices of the raw-materials supply market of the upstream enterprises and the prices of market demand for products of the downstream enterprises as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy random variables and a hybrid intelligence algorithm solution was created. The research has significance both in theory and practice. Its theoretical significance is that the research can complement and perfect existing supply chain planning in terms of quantification. Its practical significance is that the results will guide companies in supply chain logistics planning in the uncertain environment.
Book Synopsis The Fog of Peace and War Planning by : Talbot C. Imlay
Download or read book The Fog of Peace and War Planning written by Talbot C. Imlay and published by Psychology Press. This book was released on 2006 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we plan under conditions of uncertainty? The perspective of military planners is a key organizing framework: do they see themselves as preparing to administer a peace, or preparing to fight a future war? Most interwar volumes examine only the 1920s and the 1930s. This new volume goes back, and forward in time, to draw on a greater expanse of history in order to tease out lessons for contemporary planners. These chapters are grouped into four periods: 1815-1856, 1871-1914, 1918-1938, and post-Second World War. They progress from low-tech to high-tech concerns, for example, the first period examines armies, while the second period examines navies, the third asseses navies combined with air forces, and finally for the Kaiser chapter explores nuclear issues and decision-making.
Book Synopsis Proactive-reactive, robust scheduling and capacity planning of deconstruction projects under uncertainty by : Volk, Rebekka
Download or read book Proactive-reactive, robust scheduling and capacity planning of deconstruction projects under uncertainty written by Volk, Rebekka and published by KIT Scientific Publishing. This book was released on 2017-02-08 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: A project planning and decision support model is developed and applied to identify and reduce risk and uncertainty in deconstruction project planning. It allows calculating building inventories based on sensor information and construction standards and it computes robust project plans for different scenarios with multiple modes, constrained renewable resources and locations. A reactive and flexible planning element is proposed in the case of schedule infeasibility during project execution.
Book Synopsis Supply Chain Coordination under Uncertainty by : Tsan-Ming Choi
Download or read book Supply Chain Coordination under Uncertainty written by Tsan-Ming Choi and published by Springer Science & Business Media. This book was released on 2011-08-14 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: Channel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.
Book Synopsis Decision Making Under Uncertainty in Electricity Markets by : Antonio J. Conejo
Download or read book Decision Making Under Uncertainty in Electricity Markets written by Antonio J. Conejo and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.