Exact Algorithms for Constraint Satisfaction Problems

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Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832533699
Total Pages : 215 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Exact Algorithms for Constraint Satisfaction Problems by : Robin Alexander Moser

Download or read book Exact Algorithms for Constraint Satisfaction Problems written by Robin Alexander Moser and published by Logos Verlag Berlin GmbH. This book was released on 2013 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Boolean satisfiability problem (SAT) and its generalization to variables of higher arities - constraint satisfaction problems (CSP) - can arguably be called the most "natural" of all NP-complete problems. The present work is concerned with their algorithmic treatment. It consists of two parts. The first part investigates CSPs for which satisfiability follows from the famous Lovasz Local Lemma. Since its discovery in 1975 by Paul Erdos and Laszlo Lovasz, it has been known that CSPs without dense spots of interdependent constraints always admit a satisfying assignment. However, an iterative procedure to discover such an assignment was not available. We refine earlier attempts at making the Local Lemma algorithmic and present a polynomial time algorithm which is able to make almost all known applications constructive. In the second part, we leave behind the class of polynomial time tractable problems and instead investigate the randomized exponential time algorithm devised and analyzed by Uwe Schoning in 1999, which solves arbitrary clause satisfaction problems. Besides some new interesting perspectives on the algorithm, the main contribution of this part consists of a refinement of earlier approaches at derandomizing Schoning's algorithm. We present a deterministic variant which losslessly reaches the performance of the randomized original.

Complexity Classifications of Boolean Constraint Satisfaction Problems

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Publisher : SIAM
ISBN 13 : 0898714796
Total Pages : 112 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Complexity Classifications of Boolean Constraint Satisfaction Problems by : Nadia Creignou

Download or read book Complexity Classifications of Boolean Constraint Satisfaction Problems written by Nadia Creignou and published by SIAM. This book was released on 2001-01-01 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a novel form of a compendium that classifies an infinite number of problems by using a rule-based approach.

Combinatorial Optimization -- Eureka, You Shrink!

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Publisher : Springer
ISBN 13 : 3540364781
Total Pages : 219 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Combinatorial Optimization -- Eureka, You Shrink! by : Michael Jünger

Download or read book Combinatorial Optimization -- Eureka, You Shrink! written by Michael Jünger and published by Springer. This book was released on 2003-07-01 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to Jack Edmonds in appreciation of his ground breaking work that laid the foundations for a broad variety of subsequent results achieved in combinatorial optimization.The main part consists of 13 revised full papers on current topics in combinatorial optimization, presented at Aussois 2001, the Fifth Aussois Workshop on Combinatorial Optimization, March 5-9, 2001, and dedicated to Jack Edmonds.Additional highlights in this book are an account of an Aussois 2001 special session dedicated to Jack Edmonds including a speech given by William R. Pulleyblank as well as newly typeset versions of three up-to-now hardly accessible classical papers:- Submodular Functions, Matroids, and Certain Polyhedranbsp;nbsp; by Jack Edmonds- Matching: A Well-Solved Class of Integer Linear Programsnbsp;nbsp; by Jack Edmonds and Ellis L. Johnson- Theoretical Improvements in Algorithmic Efficiency for Network Flow Problemsnbsp;nbsp; by Jack Edmonds and Richard M. Karp.

Search in Artificial Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 1461387884
Total Pages : 491 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Search in Artificial Intelligence by : Leveen Kanal

Download or read book Search in Artificial Intelligence written by Leveen Kanal and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search is an important component of problem solving in artificial intelligence (AI) and, more generally, in computer science, engineering and operations research. Combinatorial optimization, decision analysis, game playing, learning, planning, pattern recognition, robotics and theorem proving are some of the areas in which search algbrithms playa key role. Less than a decade ago the conventional wisdom in artificial intelligence was that the best search algorithms had already been invented and the likelihood of finding new results in this area was very small. Since then many new insights and results have been obtained. For example, new algorithms for state space, AND/OR graph, and game tree search were discovered. Articles on new theoretical developments and experimental results on backtracking, heuristic search and constraint propaga tion were published. The relationships among various search and combinatorial algorithms in AI, Operations Research, and other fields were clarified. This volume brings together some of this recent work in a manner designed to be accessible to students and professionals interested in these new insights and developments.

Artificial Intelligence

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781537600314
Total Pages : 626 pages
Book Rating : 4.6/5 (3 download)

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Book Synopsis Artificial Intelligence by : Stuart Russell

Download or read book Artificial Intelligence written by Stuart Russell and published by Createspace Independent Publishing Platform. This book was released on 2016-09-10 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Exact Exponential Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3642165338
Total Pages : 208 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Exact Exponential Algorithms by : Fedor V. Fomin

Download or read book Exact Exponential Algorithms written by Fedor V. Fomin and published by Springer Science & Business Media. This book was released on 2010-10-26 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a long time computer scientists have distinguished between fast and slow algo rithms. Fast (or good) algorithms are the algorithms that run in polynomial time, which means that the number of steps required for the algorithm to solve a problem is bounded by some polynomial in the length of the input. All other algorithms are slow (or bad). The running time of slow algorithms is usually exponential. This book is about bad algorithms. There are several reasons why we are interested in exponential time algorithms. Most of us believe that there are many natural problems which cannot be solved by polynomial time algorithms. The most famous and oldest family of hard problems is the family of NP complete problems. Most likely there are no polynomial time al gorithms solving these hard problems and in the worst case scenario the exponential running time is unavoidable. Every combinatorial problem is solvable in ?nite time by enumerating all possi ble solutions, i. e. by brute force search. But is brute force search always unavoid able? De?nitely not. Already in the nineteen sixties and seventies it was known that some NP complete problems can be solved signi?cantly faster than by brute force search. Three classic examples are the following algorithms for the TRAVELLING SALESMAN problem, MAXIMUM INDEPENDENT SET, and COLORING.

Constraint Satisfaction Problems

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Publisher : John Wiley & Sons
ISBN 13 : 1118575016
Total Pages : 245 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Constraint Satisfaction Problems by : Khaled Ghedira

Download or read book Constraint Satisfaction Problems written by Khaled Ghedira and published by John Wiley & Sons. This book was released on 2013-02-05 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. CSPs continue to receive increased attention because of both their high complexity and their omnipresence in academic, industrial and even real-life problems. This is why they are the subject of intense research in both artificial intelligence and operations research. This book introduces the classic CSP and details several extensions/improvements of both formalisms and techniques in order to tackle a large variety of problems. Consistency, flexible, dynamic, distributed and learning aspects are discussed and illustrated using simple examples such as the n-queen problem. Contents 1. Foundations of CSP. 2. Consistency Reinforcement Techniques. 3. CSP Solving Algorithms. 4. Search Heuristics. 5. Learning Techniques. 6. Maximal Constraint Satisfaction Problems. 7. Constraint Satisfaction and Optimization Problems. 8. Distibuted Constraint Satisfaction Problems. About the Authors Khaled Ghedira is the general managing director of the Tunis Science City in Tunisia, Professor at the University of Tunis, as well as the founding president of the Tunisian Association of Artificial Intelligence and the founding director of the SOIE research laboratory. His research areas include MAS, CSP, transport and production logistics, metaheuristics and security in M/E-government. He has led several national and international research projects, supervised 30 PhD theses and more than 50 Master’s theses, co-authored about 300 journal, conference and book research papers, written two text books on metaheuristics and production logistics and co-authored three others.

Constraint and Integer Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 9781402075834
Total Pages : 406 pages
Book Rating : 4.0/5 (758 download)

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Book Synopsis Constraint and Integer Programming by : Michela Milano

Download or read book Constraint and Integer Programming written by Michela Milano and published by Springer Science & Business Media. This book was released on 2003-11-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint and Integer Programming presents some of the basic ideas of constraint programming and mathematical programming, explores approaches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field.

Automated Planning

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Publisher : Elsevier
ISBN 13 : 1558608567
Total Pages : 665 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Automated Planning by : Malik Ghallab

Download or read book Automated Planning written by Malik Ghallab and published by Elsevier. This book was released on 2004-05-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Applications of Evolutionary Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 3540009760
Total Pages : 726 pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis Applications of Evolutionary Computing by : Günther Raidl

Download or read book Applications of Evolutionary Computing written by Günther Raidl and published by Springer Science & Business Media. This book was released on 2003-04-07 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of six workshops, EvoWorkshops 2003, held together with EuroGP 2003 in Essex, UK in April 2003. The 63 revised full papers presented were carefully reviewed and selected from a total of 109 submissions. In accordance with the six workshops covered , the papers are organized in topical sections on bioinformatics, combinatorial optimization, image analysis and signal processing, evolutionary music and art, evolutionary robotics, and scheduling and timetabling.

Constraint Processing

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Publisher : Morgan Kaufmann
ISBN 13 : 1558608907
Total Pages : 504 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Constraint Processing by : Rina Dechter

Download or read book Constraint Processing written by Rina Dechter and published by Morgan Kaufmann. This book was released on 2003-05-05 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint reasoning has matured over the last three decades with contributions from a diverse community of researchers in artificial intelligence, databases and programming languages, operations research, management science, and applied mathematics. In Constraint Processing, Rina Dechter synthesizes these contributions, as well as her own significant work, to provide the first comprehensive examination of the theory that underlies constraint processing algorithms.

Handbook of Constraint Programming

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Publisher : Elsevier
ISBN 13 : 0080463800
Total Pages : 977 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Handbook of Constraint Programming by : Francesca Rossi

Download or read book Handbook of Constraint Programming written by Francesca Rossi and published by Elsevier. This book was released on 2006-08-18 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics.The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. While there are several excellent books on constraint programming, such books necessarily focus on the main notions and techniques and cannot cover also extensions, applications, and languages. The handbook gives a reasonably complete coverage of all these lines of work, based on constraint programming, so that a reader can have a rather precise idea of the whole field and its potential. Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area.The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge. Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.The handbook is organized in two parts. The first part covers the basic foundations of constraint programming, including the history, the notion of constraint propagation, basic search methods, global constraints, tractability and computational complexity, and important issues in modeling a problem as a constraint problem. The second part covers constraint languages and solver, several useful extensions to the basic framework (such as interval constraints, structured domains, and distributed CSPs), and successful application areas for constraint programming.- Covers the whole field of constraint programming- Survey-style chapters- Five chapters on applications

Complexity of Infinite-Domain Constraint Satisfaction

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Publisher : Cambridge University Press
ISBN 13 : 1107042844
Total Pages : 537 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Complexity of Infinite-Domain Constraint Satisfaction by : Manuel Bodirsky

Download or read book Complexity of Infinite-Domain Constraint Satisfaction written by Manuel Bodirsky and published by Cambridge University Press. This book was released on 2021-06-10 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the universal-algebraic approach to classifying the computational complexity of constraint satisfaction problems.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 354021836X
Total Pages : 429 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems by : Jean-Charles Régin

Download or read book Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems written by Jean-Charles Régin and published by Springer Science & Business Media. This book was released on 2004-04-07 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2004, held in Nice, France in April 2004. The 23 revised full papers and 7 revised short papers presented together with an invited talk were carefully reviewed and selected from 56 submissions. Methodological and foundational issues from AI, OR, and algorithmics are presented as well as applications to the solution of combinatorial optimization problems in various fields via constraint programming.

Recent Advances in Memetic Algorithms

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Publisher : Springer
ISBN 13 : 3540323635
Total Pages : 406 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Recent Advances in Memetic Algorithms by : William E. Hart

Download or read book Recent Advances in Memetic Algorithms written by William E. Hart and published by Springer. This book was released on 2006-06-22 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

Constraint-Based Scheduling

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Publisher : Springer Science & Business Media
ISBN 13 : 1461514797
Total Pages : 204 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Constraint-Based Scheduling by : Philippe Baptiste

Download or read book Constraint-Based Scheduling written by Philippe Baptiste and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of the constraints that define the problem to be solved and (2) the algorithms and heuristics enabling the selection of decisions to solve the problem. It is because of these capabilities that Constraint Programming is increasingly being employed as a problem-solving tool to solve scheduling problems. Hence the development of Constraint-Based Scheduling as a field of study. The aim of this book is to provide an overview of the most widely used Constraint-Based Scheduling techniques. Following the principles of Constraint Programming, the book consists of three distinct parts: The first chapter introduces the basic principles of Constraint Programming and provides a model of the constraints that are the most often encountered in scheduling problems. Chapters 2, 3, 4, and 5 are focused on the propagation of resource constraints, which usually are responsible for the "hardness" of the scheduling problem. Chapters 6, 7, and 8 are dedicated to the resolution of several scheduling problems. These examples illustrate the use and the practical efficiency of the constraint propagation methods of the previous chapters. They also show that besides constraint propagation, the exploration of the search space must be carefully designed, taking into account specific properties of the considered problem (e.g., dominance relations, symmetries, possible use of decomposition rules). Chapter 9 mentions various extensions of the model and presents promising research directions.

The Complexity of Valued Constraint Satisfaction Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642339735
Total Pages : 176 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis The Complexity of Valued Constraint Satisfaction Problems by : Stanislav Zivny

Download or read book The Complexity of Valued Constraint Satisfaction Problems written by Stanislav Zivny and published by Springer Science & Business Media. This book was released on 2012-10-20 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of this book is the following optimisation problem: given a set of discrete variables and a set of functions, each depending on a subset of the variables, minimise the sum of the functions over all variables. This fundamental research problem has been studied within several different contexts of discrete mathematics, computer science and artificial intelligence under different names: Min-Sum problems, MAP inference in Markov random fields (MRFs) and conditional random fields (CRFs), Gibbs energy minimisation, valued constraint satisfaction problems (VCSPs), and, for two-state variables, pseudo-Boolean optimisation. In this book the author presents general techniques for analysing the structure of such functions and the computational complexity of the minimisation problem, and he gives a comprehensive list of tractable cases. Moreover, he demonstrates that the so-called algebraic approach to VCSPs can be used not only for the search for tractable VCSPs, but also for other questions such as finding the boundaries to the applicability of certain algorithmic techniques. The book is suitable for researchers interested in methods and results from the area of constraint programming and discrete optimisation.