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EBookClubs

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Book Simulation Based Optimization

Download or read book Simulation Based Optimization written by Abhijit Gosavi and published by Springer. This book was released on 2014-10-30 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: · Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) · Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics · An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata · A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Book Efficient simulation algorithms for optimization of discrete event systems based on measure valued differentation

Download or read book Efficient simulation algorithms for optimization of discrete event systems based on measure valued differentation written by Taoying Farenhorst-Yuan and published by Rozenberg Publishers. This book was released on 2010 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Stochastic Discrete Event Systems

Download or read book Stochastic Discrete Event Systems written by Armin Zimmermann and published by Springer Science & Business Media. This book was released on 2008-01-12 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions. This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.

Book Single run Optimization of Discrete event Simulations

Download or read book Single run Optimization of Discrete event Simulations written by Ying Tat Leung and published by . This book was released on 1990 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Handbook of Simulation

Download or read book Handbook of Simulation written by Jerry Banks and published by John Wiley & Sons. This book was released on 1998-09-14 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses Buch ist eine unschätzbare Informationsquelle für alle Ingenieure, Designer, Manager und Techniker bei Entwicklung, Studium und Anwendung einer großen Vielzahl von Simulationstechniken. Es vereint die Arbeit internationaler Simulationsexperten aus Industrie und Forschung. Alle Aspekte der Simulation werden in diesem umfangreichen Nachschlagewerk abgedeckt. Der Leser wird vertraut gemacht mit den verschiedenen Techniken von Industriesimulationen sowie mit Einsatz, Anwendungen und Entwicklungen. Neueste Fortschritte wie z.B. objektorientierte Programmierung werden ebenso behandelt wie Richtlinien für den erfolgreichen Umgang mit simulationsgestützten Prozessen. Auch gibt es eine Liste mit den wichtigsten Vertriebs- und Zulieferadressen. (10/98)

Book Handbook of Simulation Optimization

Download or read book Handbook of Simulation Optimization written by Michael C Fu and published by Springer. This book was released on 2014-11-13 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science, operations management and stochastic control, as well as in economics/finance and computer science.

Book Introduction to Stochastic Search and Optimization

Download or read book Introduction to Stochastic Search and Optimization written by James C. Spall and published by John Wiley & Sons. This book was released on 2005-03-11 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets.

Book Simulated Annealing

    Book Details:
  • Author : Cher Ming Tan
  • Publisher : IntechOpen
  • Release : 2008-09-01
  • ISBN : 9789537619077
  • Pages : 428 pages

Download or read book Simulated Annealing written by Cher Ming Tan and published by IntechOpen. This book was released on 2008-09-01 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the readers with the knowledge of Simulated Annealing and its vast applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.

Book Stochastic Approximation and Its Applications

Download or read book Stochastic Approximation and Its Applications written by Hanfu Chen and published by Springer Science & Business Media. This book was released on 2002-08-31 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classifi- tion the parameters specifying the partition hyperplane are searched by learning, and more examples may be added to this list. All these parameter estimation problems can be transformed to a root-seeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, for example, may serve as such a function.

Book Computer Vision    ECCV 2010

    Book Details:
  • Author : Kostas Daniilidis
  • Publisher : Springer Science & Business Media
  • Release : 2010-08-30
  • ISBN : 3642155545
  • Pages : 828 pages

Download or read book Computer Vision ECCV 2010 written by Kostas Daniilidis and published by Springer Science & Business Media. This book was released on 2010-08-30 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set comprising LNCS volumes 6311 until 6313 constitutes the refereed proceedings of the 11th European Conference on Computer Vision, ECCV 2010, held in Heraklion, Crete, Greece, in September 2010. The 325 revised papers presented were carefully reviewed and selected from 1174 submissions. The papers are organized in topical sections on object and scene recognition; segmentation and grouping; face, gesture, biometrics; motion and tracking; statistical models and visual learning; matching, registration, alignment; computational imaging; multi-view geometry; image features; video and event characterization; shape representation and recognition; stereo; reflectance, illumination, color; medical image analysis.

Book Stochastic Approximation and Optimization of Random Systems

Download or read book Stochastic Approximation and Optimization of Random Systems written by Lennart Ljung and published by Birkhauser. This book was released on 1992 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Cross Entropy Method

    Book Details:
  • Author : Reuven Y. Rubinstein
  • Publisher : Springer Science & Business Media
  • Release : 2013-03-09
  • ISBN : 1475743211
  • Pages : 316 pages

Download or read book The Cross Entropy Method written by Reuven Y. Rubinstein and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rubinstein is the pioneer of the well-known score function and cross-entropy methods. Accessible to a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist and practitioner, who is interested in smart simulation, fast optimization, learning algorithms, and image processing.

Book Stochastic Algorithms for Optimization

Download or read book Stochastic Algorithms for Optimization written by Jin-Cheng Wang and published by . This book was released on 1994 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Metaheuristic Optimization via Memory and Evolution

Download or read book Metaheuristic Optimization via Memory and Evolution written by Cesar Rego and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems.

Book Value Chain Management in the Chemical Industry

Download or read book Value Chain Management in the Chemical Industry written by Matthias Kannegiesser and published by Springer Science & Business Media. This book was released on 2008-06-11 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply chain management helped companies to manage volumes, fulfil customer demand and optimize costs in production and distribution. Specifically, chemical industry companies with high complexity in production and distribution used supply chain management to steer their operations. Confronted with globalization and increasing raw material and sales price volatility, optimizing supply chain costs is no longer sufficient to ensure the overall profitability of the business. Value chain management takes supply chain management to the next level by integrating all volume and value decisions from sales to procurement. The book presents the value chain management concept and demonstrates how it is applied in a global value chain planning model for commodities in the chemical industry. A comprehensive industry case study illustrates the effects of decision making integration, e.g. the influence of raw material prices or exchange rates on optimal sales, production, distribution and procurement plans as well as overall company profitability.

Book Proceedings of the 1998 Winter Simulation Conference

Download or read book Proceedings of the 1998 Winter Simulation Conference written by D. J. Medeiros and published by . This book was released on 1998 with total page 962 pages. Available in PDF, EPUB and Kindle. Book excerpt: