Anticipatory Optimization for Dynamic Decision Making Stephan Meisel Buch Operations Research/Computer Science Interfaces Series Englisch 2011 Springer US EAN 9781461405047 - encuadernado, tapa blanda
2011, ISBN: 9781461405047
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2011, ISBN: 1461405041
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Anticipatory Optimization for Dynamic Decision Making | Stephan Meisel | Buch | xiv | Englisch | 2011 | Springer US | EAN 9781461405047 - encuadernado, tapa blanda
2011, ISBN: 9781461405047
[ED: Gebunden], [PU: Springer US], The availability of today's online information systems rapidly increases the relevance of dynamic decision making within a large number of operational c… Más…
booklooker.de |
Anticipatory Optimization for Dynamic Decision Making Stephan Meisel Buch Operations Research/Computer Science Interfaces Series Englisch 2011 Springer US EAN 9781461405047 - encuadernado, tapa blanda
2011, ISBN: 9781461405047
[ED: Gebunden], [PU: Springer US], The availability of today's online information systems rapidly increases the relevance of dynamic decision making within a large number of operational c… Más…
2011, ISBN: 1461405041
The availability of today's online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of int… Más…
ISBN: 9781461405047
The availability of today''s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of in… Más…
ISBN: 9781461405047
The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of int… Más…
Anticipatory Optimization for Dynamic Decision Making | Stephan Meisel | Buch | xiv | Englisch | 2011 | Springer US | EAN 9781461405047 - encuadernado, tapa blanda
2011, ISBN: 9781461405047
[ED: Gebunden], [PU: Springer US], The availability of today's online information systems rapidly increases the relevance of dynamic decision making within a large number of operational c… Más…
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Detalles del libro - Anticipatory Optimization for Dynamic Decision Making
EAN (ISBN-13): 9781461405047
ISBN (ISBN-10): 1461405041
Tapa dura
Año de publicación: 2011
Editorial: Springer-Verlag GmbH
182 Páginas
Peso: 0,439 kg
Idioma: Englisch
Libro en la base de datos desde 2009-03-18T00:32:29-06:00 (Mexico City)
Página de detalles modificada por última vez el 2024-01-15T16:02:08-06:00 (Mexico City)
ISBN/EAN: 1461405041
ISBN - escritura alterna:
1-4614-0504-1, 978-1-4614-0504-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: meisel, stephan, meise
Título del libro: tor, the last making, optimization operations research, decision
Datos del la editorial
Autor: Stephan Meisel
Título: Operations Research/Computer Science Interfaces Series; Anticipatory Optimization for Dynamic Decision Making
Editorial: Springer; Springer US
182 Páginas
Año de publicación: 2011-06-29
New York; NY; US
Impreso en
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 182 p.
BB; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Unternehmensforschung; Verstehen; Anticipatory Optimization; Decision Making; Decision Science; Dynamic Programming; Dynamic Vehicle Routing; Operations Research; Optimization; Operations Research and Decision Theory; Operations Research, Management Science; Optimization; Management: Entscheidungstheorie; Optimierung; BC
The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process.However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems.This book has serves two major purposes:‐ It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. Itfully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making.‐ It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community.First book to show how to solve dynamic vehicle routing problems with approximate dynamic programming with anticipation Introduces anticipatory optimization for dynamic decision making Explores synergies of optimization and data mining and the potential in anticipation
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