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Telecommunications Optimization: Heuristic and Adaptive Techniques
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David W Corne (Editor), Martin J Oates (Editor), Dr. George D Smith (Editor)
Written in an accessible and easy-to-read style, this cutting-edge book presents advanced solutions to current and future telecommunications optimization problems. The field of telecommunications is growing and changing ever more rapidly, presenting new real-world problems for optimization researchers to address. Telecommunications engineers ...
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Modern Heuristic Search Methods
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V J Rayward-Smith (Editor), I H Osman (Editor), C R Reeves (Editor)
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved ...
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Metaheuristics:: Progress as Real Problem Solvers
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Toshihide Ibaraki (Editor), Koji Nonobe (Editor), Mutsunori Yagiura (Editor)
"Metaheuristics: Progress as Real Problem Solvers" is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper by M.G.C. Resende and C.C. Ribeiro discussing ...
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Heuristic Scheduling Systems: With Applications to Production Systems and Project Management
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Thomas E Morton, David W Pentico
New and powerful heuristic methods for building scheduling systems are developed by this text, which also develops enough of a foundation for exact and older heuristic methods to make it suitable as an introductory textbook in scheduling and project management. It provides major software to help students deepen their understanding of methods ...
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Local search in combinatorial optimization
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Emile L Aarts (Editor), Jan Karel Lenstra (Introduction by)
In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach for obtaining high-quality solutions to problems of a realistic ...
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Data Mining: A Heuristic Approach
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Hussein Abbass, PH.D., Ruhul Sarker, PH.D., Charles Newton, PH.D.
Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by ...
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Understanding Planning Tasks: Domain Complexity and Heuristic Decomposition
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Malte Helmert
Action planning has always played a central role in Artificial Intelligence. Given a description of the current situation, a description of possible actions and a description of the goals to be achieved, the task is to identify a sequence of actions, i.e., a plan that transforms the current situation into one that satisfies the goal description. ...
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Artificial intelligence: the heuristic programming approach
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James R. Slagle
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Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications
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Jonas Mockus, William Eddy, Gintaras Reklaitis
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 ...
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Heuristic Approaches for Telecommunications Network Management, Planning and Expansion
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Robert Doverspike (Editor), Iraj Saniee (Editor)
The telecommunications industry is experiencing a worldwide explosion of growth as few other industries ever have. However, since the 1990s, the bulk of telecommunications services were delivered by the traditional telephone network, for which design and analysis principles had been under steady development for over three-quarters of a century. In ...
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Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach
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Paul R Cohen
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Heuristics intelligent search strategies for computer problem solving
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Pearl
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Artificial Intelligence and Heuristic Programming
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N. V. Findler
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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach
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Jonas Mockus
This text shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Each example is a simple representation of some important family of real-life problems. Remote Internet users can run the ...
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Uncertainty in Artificial Intelligence
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Laveen N Kanal
How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge from these papers revolve around an interval-based calculus of ...
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Heuristic and Optimization for Knowledge Discovery
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Ruhul Sarker, PH.D., Hussein Abbass, PH.D., Charles Newton, PH.D.
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about ...
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AI & Expertise: Heuristic Search, Inference Engines, Automatic Proving
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Henri Farreny
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Uncertainty in Artificial Intelligence 3
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Laveen N Kanal
Being a subject of much controversy in Artificial Intelligence, there are still many open fundamental issues in the area of uncertain reasoning. This third volume presents new research results, representing significant progress in a number of issues. Because representation and reasoning under uncertainty are still poorly understood, and because ...
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Search and Heuristics
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Judea Pearl
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Transfer Pricing in Multinational Firms: A Heuristic Programming Approach and a Case Study
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Lars Nieckels
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Uncertainty in Artificial Intelligence 2
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by
John F Lemmer
This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the ...
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Heuristic Programming in Artificial Intelligence: The First Computer Olympiad
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David N. Levy (Editor), Don Beal (Editor)
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Heuristic Programming in Artificial Intelligence: The Second Computer Olympiad
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David N L Levy
The proceedings of the 2nd Computer Olympiad, a conference conceived as an event to bring together computer programmers and research workers who are interested in programming "intelligent" games. Topics discussed range from mechanical bridge players to programs for Go, Chinese chess and checkers.
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Constructo Heuristic Game
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Daniel W Halpin, Ronald W Woodhead
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Metaheuristics: From Design to Implementation
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El-Ghazali Talbi
This book presents a unified view of metaheuristics. It provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the ...
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