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Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search, David L. Woodruff


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Автор: David L. Woodruff
Название:  Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 9781441950239
Издательство: Springer
Классификация:






ISBN-10: 1441950230
Обложка/Формат: Paperback
Страницы: 312
Вес: 0.45 кг.
Дата издания: 07.12.2010
Серия: Operations Research/Computer Science Interfaces Series
Язык: English
Размер: 234 x 156 x 17
Основная тема: Business and Management
Подзаголовок: Interfaces in Computer Science and Operations Research
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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 Heuristic Signal Processing and Applications

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364244525X ISBN-13(EAN): 9783642445255
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems.

In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.

The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

Advances in Heuristic Signal Processing and Applications

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364237879X ISBN-13(EAN): 9783642378799
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design.- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters.- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization.- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions.- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks.- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems.- Chap. 7: Iterative Design of FIR Filters.- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design.- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization.- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation.- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter.- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification.- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging.- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation.- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform.- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.

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.

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.

Combinatorial Heuristic Algorithms with FORTRAN

Автор: Hang Tong Lau
Название: Combinatorial Heuristic Algorithms with FORTRAN
ISBN: 3540171614 ISBN-13(EAN): 9783540171614
Издательство: Springer
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Цена: 10760.00 р.
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Описание: In recent years researchers have spent much effort in developing efficient heuristic algorithms for solving the class of NP-complete problems which are widely believed to be inherently intractable from the computational point of view. Traveling Salesman Problem 52 Chapter 5. Steiner Tree Problem 81 Chapter 6.

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: 1441949704 ISBN-13(EAN): 9781441949707
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.

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.

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 3540744452 ISBN-13(EAN): 9783540744450
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.

Heuristic Reasoning

Автор: Emiliano Ippoliti
Название: Heuristic Reasoning
ISBN: 3319362224 ISBN-13(EAN): 9783319362229
Издательство: Springer
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Цена: 14365.00 р.
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Описание: And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?The respective chapters in this book provide readers with answers to these questions.

Heuristic Reasoning

Автор: Emiliano Ippoliti
Название: Heuristic Reasoning
ISBN: 3319091581 ISBN-13(EAN): 9783319091587
Издательство: Springer
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Цена: 19564.00 р.
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Описание: And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?The respective chapters in this book provide readers with answers to these questions.


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