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Bayesian Heuristic Approach to Discrete and Global Optimization, Jonas Mockus; William Eddy; Gintaras Reklaitis


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Автор: Jonas Mockus; William Eddy; Gintaras Reklaitis
Название:  Bayesian Heuristic Approach to Discrete and Global Optimization
ISBN: 9781441947673
Издательство: Springer
Классификация: ISBN-10: 1441947671
Обложка/Формат: Paperback
Страницы: 397
Вес: 0.58 кг.
Дата издания: 07.12.2010
Серия: Nonconvex Optimization and Its Applications
Язык: English
Размер: 234 x 156 x 22
Основная тема: Mathematics
Подзаголовок: Algorithms, Visualization, Software, and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal presentation of the Bayesian Approach, to its extension to the Bayesian Heuristic Strategy, and its utilization within the informal, interactive Dynamic Visualization strategy. The developed framework is applied in forecasting, in neural network optimization, and in a large number of discrete and continuous optimization problems. Specific application areas which are discussed include scheduling and visualization problems in chemical engineering, manufacturing process control, and epidemiology. Computational results and comparisons with a broad range of test examples are presented. The software required for implementation of the Bayesian Heuristic Approach is included. Although some knowledge of mathematical statistics is necessary in order to fathom the theoretical aspects of the development, no specialized mathematical knowledge is required to understand the application of the approach or to utilize the software which is provided.
Audience: The book is of interest to both researchers in operations research, systems engineering, and optimization methods, as well as applications specialists concerned with the solution of large scale discrete and/or nonconvex optimization problems in a broad range of engineering and technological fields. It may be used as supplementary material for graduate level courses.



Heuristic Search,

Автор: Stefan Edelkamp
Название: Heuristic Search,
ISBN: 0123725127 ISBN-13(EAN): 9780123725127
Издательство: Elsevier Science
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Цена: 10004.00 р. 11115.00 -10%
Наличие на складе: Есть (1 шт.)
Описание: Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. This title presents a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems.

A Theory of Heuristic Information in Game-Tree Search

Автор: Chun-Hung Tzeng
Название: A Theory of Heuristic Information in Game-Tree Search
ISBN: 3642648126 ISBN-13(EAN): 9783642648120
Издательство: Springer
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Цена: 12157.00 р.
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Описание: A solution to this problem is a sequence of moves leading from the initial configuration to the goal configuration, and an optimal solution is a solution having the smallest number of moves.

Portfolio Management with Heuristic Optimization

Автор: Dietmar G. Maringer
Название: Portfolio Management with Heuristic Optimization
ISBN: 1441938427 ISBN-13(EAN): 9781441938428
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The second part (Applications and Contributions) consists of five chapters, covering different problems in financial optimization: the effects of (linear, proportional and combined) transaction costs together with integer constraints and limitations on the initital endowment to be invested;

Heuristic Approach to Possibilistic Clustering: Algorithms a

Автор: Viattchenin Dmitri A
Название: Heuristic Approach to Possibilistic Clustering: Algorithms a
ISBN: 3642355358 ISBN-13(EAN): 9783642355356
Издательство: Springer
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Цена: 19591.00 р.
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Heuristic Approaches for Telecommunications Network Management, Planning and Expansion

Автор: Robert Doverspike; Iraj Saniee
Название: Heuristic Approaches for Telecommunications Network Management, Planning and Expansion
ISBN: 0792377982 ISBN-13(EAN): 9780792377986
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Robert Doverspike, AT&T Labs Research Iraj Saniee, Bell-Labs, Lucent Technologies June PI, 1999 3 `` Journal of Heuristics, 6, 9-20 (2000) *"`Il (c) 2000 Kluwer Academic Publishers Telecommunications Network Case Study: Selecting a Data Network Architecture ERIC ROSENBERG AT&T Labs, Middletown, NJ 07748, USA email: eric.

Solving Non-standard Packing Problems by Global Optimization and Heuristics

Автор: Giorgio Fasano
Название: Solving Non-standard Packing Problems by Global Optimization and Heuristics
ISBN: 3319050044 ISBN-13(EAN): 9783319050041
Издательство: Springer
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Цена: 6986.00 р.
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A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

Автор: Dmitri A. Viattchenin
Название: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
ISBN: 364244301X ISBN-13(EAN): 9783642443015
Издательство: Springer
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Цена: 16977.00 р.
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Probability Approximations via the Poisson Clumping Heuristic

Автор: David Aldous
Название: Probability Approximations via the Poisson Clumping Heuristic
ISBN: 0387968997 ISBN-13(EAN): 9780387968995
Издательство: Springer
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Цена: 18167.00 р.
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Описание: If you place a large number of points randomly in the unit square, what is the distribution of the radius of the largest circle containing no points? If cars on a freeway move with constant speed (random from car to car), what is the longest stretch of empty road you will see during a long journey?

Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

Автор: Frumen Olivas; Fevrier Valdez; Oscar Castillo; Pat
Название: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
ISBN: 3319708503 ISBN-13(EAN): 9783319708508
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.

Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization

Автор: Davidor Yuval
Название: Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization
ISBN: 9810202172 ISBN-13(EAN): 9789810202170
Издательство: World Scientific Publishing
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Цена: 6494.00 р.
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Описание: Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems.This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies.Request Inspection Copy

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

Transdisciplinary Sustainability Studies: A Heuristic Approach

Автор: Huutoniemi Katri, Tapio Petri
Название: Transdisciplinary Sustainability Studies: A Heuristic Approach
ISBN: 0415855799 ISBN-13(EAN): 9780415855792
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание:

Arising out of human-environment interaction, sustainability problems resist disciplinary categories and simple solutions. This book offers a fresh approach to practical and methodological concerns in transdisciplinary environmental and sustainability studies. It illustrates methodological means by which researchers, professionals, and decision-makers can address complex environmental issues.

While scientific reasoning is mostly guided by disciplinary traditions, transdisciplinary research rests on other cognitive strategies. As it does not have a ready-made stance toward problems, figuring out what the puzzle is and what the answer might look like are crucial aspects of transdisciplinary inquiry. Through examples from environment and sustainability studies, the volume discusses heuristic schemes that can give structure to this exploration. By focusing on heuristics, rather than on methods, concepts, or general guidelines, the book argues that a problem-centered approach often resists the rigor of methodology. Learning from experience provides valuable "rules of thumb," checklists, and other cognitive schemes for making ill-defined problems more tangible.

Written by an international team of authors, the chapters draw examples from dealing with issues in environmental protection, transport and climate policy, ecosystem services and disservices, environmental beliefs and attitudes, and more. Together with more theoretically oriented chapters, they show that the intellectual processes needed to tackle complex sustainability problems are as much about heuristic problem solving as they are about methodical work.


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