Decision theory

an introduction to dynamic programming and sequential decisions

Author: John Bather

Publisher: John Wiley & Sons Inc

ISBN: 9780471976486

Category: Business & Economics

Page: 191

View: 1746

Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction, and its use in solving optimization problems, is a topic of great interest with many applications. It enables us to study multistage decision problems by proceeding backwards in time, using a method called dynamic programming. All the techniques needed to solve the various problems are explained, and the author's fluent style will leave the reader with an avid interest in the subject. * Tailored to the needs of students of optimization and decision theory * Written in a lucid style with numerous examples and applications * Coverage of deterministic models: maximizing utilities, directed networks, shortest paths, critical path analysis, scheduling and convexity * Coverage of stochastic models: stochastic dynamic programming, optimal stopping problems and other special topics * Coverage of advanced topics: Markov decision processes, minimizing expected costs, policy improvements and problems with unknown statistical parameters * Contains exercises at the end of each chapter, with hints in an appendix Aimed primarily at students of mathematics and statistics, the lucid text will also appeal to engineering and science students and those working in the areas of optimization and operations research.
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Multi-Objective Optimization Using Evolutionary Algorithms

Author: Kalyanmoy Deb

Publisher: John Wiley & Sons

ISBN: 9780471873396

Category: Computers

Page: 497

View: 7128

Evolutionary algorithms are relatively new, but very powerfultechniques used to find solutions to many real-world search andoptimization problems. Many of these problems have multipleobjectives, which leads to the need to obtain a set of optimalsolutions, known as effective solutions. It has been found thatusing evolutionary algorithms is a highly effective way of findingmultiple effective solutions in a single simulation run. Comprehensive coverage of this growing area of research Carefully introduces each algorithm with examples and in-depthdiscussion Includes many applications to real-world problems, includingengineering design and scheduling Includes discussion of advanced topics and future research Can be used as a course text or for self-study Accessible to those with limited knowledge of classicalmulti-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and exampleswill benefit those working and researching in the areas ofoptimization, optimal design and evolutionary computing. This textprovides an excellent introduction to the use of evolutionaryalgorithms in multi-objective optimization, allowing use as agraduate course text or for self-study.
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Power Generation Operation and Control, 3rd Ed, 2014

Power Resources Engineering

Author: John Wiley & Sons, Inc

Publisher: Bukupedia

ISBN: N.A

Category: Technology & Engineering

Page: 657

View: 1760

Power Resources Engineering : POWER GENERATION, OPERATION, AND CONTROL THIRD EDITION Allen J. Wood Bruce F. Wollenberg Gerald B. Sheblé
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Pricing Communication Networks

Economics, Technology and Modelling

Author: Costas Courcoubetis,Richard Weber

Publisher: John Wiley & Sons

ISBN: 0470864249

Category: Mathematics

Page: 378

View: 9498

Traditionally engineers devised communication services without reference to how they should be priced. In today's environment pricing is a very complex subject and in practice depends on many parameters of the actual market - including amount of traffic, architecture of the network, technology, and cost. The challenge is to provide a generic service model which accurately captures aspects such as quality and performance, and can be used to derive optimal pricing strategies. Recent technology advances, combined with the deregulation of the telecommunication market and the proliferation of the internet, have created a highly competitive environment for communication service prividers. Pricing is no longer as simple as picking an appropriate model for a particular contract. There is a real need for a book that explains the provision of new services, the relation between pricing and resource allocation in networks; and the emergence of the internet and how to price it. Pricing Communication Networks provides a framework of mathematical models for pricing these multidimensional contracts, and includes background in network services and contracts, network techonology, basic economics, and pricing strategy. It can be used by economists to fill in the gaps in their knowledge of network services and technology, and for engineers and operational researchers to gain the background in economics required to price communication services effectively. * Provides a broad overview of network services and contracts * Includes a primer on modern network technology and the economic concepts relevant to pricing and competition * Includes discussion of mathematical models of traffic flow to help describe network capability and derive pricing strategies * Includes coverage of specialist topics, such as regulation, multicasting, and auctions * Illustrated throughout by detailed real examples * Suitable for anyone with an understanding of basic calculus and probability Primarily aimed at graduate students, researchers and practitioners from electrical engineering, computer science, economics and operations research Pricing Communication Networks will also appeal to telecomms engineers working in industry.
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Approximate Dynamic Programming

Solving the Curses of Dimensionality

Author: Warren B. Powell

Publisher: John Wiley & Sons

ISBN: 9780470182956

Category: Mathematics

Page: 480

View: 1848

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BPR

Author: N.A

Publisher: N.A

ISBN: N.A

Category: American literature

Page: N.A

View: 6160

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Introduction to Stochastic Search and Optimization

Estimation, Simulation, and Control

Author: James C. Spall

Publisher: John Wiley & Sons

ISBN: 0471441902

Category: Mathematics

Page: 618

View: 378

A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace, medicine, transportation, and finance, to name but a few. Whether the goal is refining the design of a missile or aircraft, determining the effectiveness of a new drug, developing the most efficient timing strategies for traffic signals, or making investment decisions in order to increase profits, stochastic algorithms can help researchers and practitioners devise optimal solutions to countless real-world problems. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The treatment is both rigorous and broadly accessible, distinguishing this text from much of the current literature and providing students, researchers, and practitioners with a strong foundation for the often-daunting task of solving real-world problems. The text covers a broad range of today’s most widely used stochastic algorithms, including: Random search Recursive linear estimation Stochastic approximation Simulated annealing Genetic and evolutionary methods Machine (reinforcement) learning Model selection Simulation-based optimization Markov chain Monte Carlo Optimal experimental design The book includes over 130 examples, Web links to software and data sets, more than 250 exercises for the reader, and an extensive list of references. These features help make the text an invaluable resource for those interested in the theory or practice of stochastic search and optimization.
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Stochastic Dynamic Programming and the Control of Queueing Systems

Author: Linn I. Sennott

Publisher: John Wiley & Sons

ISBN: 0470317876

Category: Mathematics

Page: 354

View: 8406

A path-breaking account of Markov decision processes-theory and computation This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and continuous time make it an excellent course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic programming makes it a valuable working resource for operations research professionals, management scientists, engineers, and others. Stochastic Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon discounted, and average cost criteria. It then shows how optimal rules of operation (policies) for each criterion may be numerically determined. A great wealth of examples from the application area of the control of queueing systems is presented. Nine numerical programs for the computation of optimal policies are fully explicated. The Pascal source code for the programs is available for viewing and downloading on the Wiley Web site at www.wiley.com/products/subject/mathematics. The site contains a link to the author's own Web site and is also a place where readers may discuss developments on the programs or other aspects of the material. The source files are also available via ftp at ftp://ftp.wiley.com/public/sci_tech_med/stochastic Stochastic Dynamic Programming and the Control of Queueing Systems features: * Path-breaking advances in Markov decision process techniques, brought together for the first time in book form * A theorem/proof format (proofs may be omitted without loss of continuity) * Development of a unified method for the computation of optimal rules of system operation * Numerous examples drawn mainly from the control of queueing systems * Detailed discussions of nine numerical programs * Helpful chapter-end problems * Appendices with complete treatment of background material
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Subject Guide to Books in Print

An Index to the Publishers' Trade List Annual

Author: N.A

Publisher: N.A

ISBN: N.A

Category: American literature

Page: N.A

View: 9041

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Optimization by Vector Space Methods

Author: David G. Luenberger

Publisher: John Wiley & Sons

ISBN: 9780471181170

Category: Mathematics

Page: 326

View: 3140

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.
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Control Techniques for Complex Networks

Author: Sean Meyn

Publisher: Cambridge University Press

ISBN: 0521884411

Category: Computers

Page: 562

View: 3845

From foundations to state-of-the-art; the tools and philosophy you need to build network models.
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Practical Genetic Algorithms

Author: Randy L. Haupt,Sue Ellen Haupt

Publisher: John Wiley & Sons

ISBN: 9780471671756

Category: Technology & Engineering

Page: 272

View: 4774

* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition
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Markov Decision Processes in Artificial Intelligence

Author: Olivier Sigaud,Olivier Buffet

Publisher: John Wiley & Sons

ISBN: 1118620100

Category: Technology & Engineering

Page: 480

View: 2323

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.
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Library Journal

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Libraries

Page: N.A

View: 4581

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Recent Advances in Research on Unmanned Aerial Vehicles

Author: Fariba Fahroo,Le Yi Wang,George Yin

Publisher: Springer

ISBN: 3642376940

Category: Technology & Engineering

Page: 207

View: 7663

A team of launched and coordinated Unmanned aerial vehicles (UAVs), requires advanced technologies in sensing, communication, computing, and control to improve their intelligence and robustness towards autonomous operations. To enhance reliability, robustness, and mission capability of a team of UAVs, a system-oriented and holistic approach is desirable in which all components and subsystems are considered in terms of their roles and impact on the entire system. This volume aims to summarize the recent progress, identify challenges and opportunities, and develop new methodologies and systems on coordinated UAV control. A group of experts working in this area have contributed to this volume in several related aspects of autonomous control of networked UAVs. Their papers introduce new control methodologies, algorithms, and systems that address several important issues in developing intelligent, autonomous or semi-autonomous, networked systems for the next generation of UAVs. The papers share a common focus on improved coordination of the members of the networked system to accomplish a common mission, to achieve heightened capability in system reconfiguration to compensate for lost members or connections, and to enhance robustness against terrain complications and attacks.
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Data Mining: Concepts and Techniques

Author: Jiawei Han,Jian Pei,Micheline Kamber

Publisher: Elsevier

ISBN: 9780123814807

Category: Computers

Page: 744

View: 3828

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
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