Download or read book Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems written by Mohamed Wahbi and published by John Wiley & Sons. This book was released on 2013-07-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed Artificial Intelligence. A wide variety of problems in artificial intelligence are solved using the constraint satisfaction problem paradigm. However, there are several applications in multi-agent coordination that are of a distributed nature. In this type of application, the knowledge about the problem, that is, variables and constraints, may be logically or geographically distributed among physical distributed agents. This distribution is mainly due to privacy and/or security requirements. Therefore, a distributed model allowing a decentralized solving process is more adequate to model and solve such kinds of problem. The distributed constraint satisfaction problem has such properties. Contents Introduction Part 1. Background on Centralized and Distributed Constraint Reasoning 1. Constraint Satisfaction Problems 2. Distributed Constraint Satisfaction Problems Part 2. Synchronous Search Algorithms for DisCSPs 3. Nogood Based Asynchronous Forward Checking (AFC-ng) 4. Asynchronous Forward Checking Tree (AFC-tree) 5. Maintaining Arc Consistency Asynchronously in Synchronous Distributed Search Part 3. Asynchronous Search Algorithms and Ordering Heuristics for DisCSPs 6. Corrigendum to “Min-domain Retroactive Ordering for Asynchronous Backtracking” 7. Agile Asynchronous BackTracking (Agile-ABT) Part 4. DisChoco 2.0: A Platform for Distributed Constraint Reasoning 8. DisChoco 2.0 9. Conclusion About the Authors Mohamed Wahbi is currently an associate lecturer at Ecole des Mines de Nantes in France. He received his PhD degree in Computer Science from University Montpellier 2, France and Mohammed V University-Agdal, Morocco in 2012 and his research focused on Distributed Constraint Reasoning.
Download or read book Distributed Search by Constrained Agents written by Amnon Meisels and published by Springer Science & Business Media. This book was released on 2008 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The well defined model of distributed constraints satisfaction and optimization (DisCSPs/DisCOPs) can serve as the basis for the design and investigation of distributed search algorithms, of protocols and of negotiations and search. This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. The book introduces distributed constraint satisfaction and optimization problems and describes the underlying model.
Download or read book Distributed Constraint Satisfaction written by Makoto Yokoo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement. Also, an extension of the basic CSP formalization called "Partial CSP" is introduced in order to handle over-constrained CSPs.
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.
Download or read book Foundations of Constraint Satisfaction written by Edward Tsang and published by . This book was released on 1993 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Constraint Satisfaction.
Download or read book A Class of Algorithms for Distributed Constraint Optimization written by Adrian Petcu and published by IOS Press. This book was released on 2009 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming.
Download or read book Recent Advances in Constraints written by Javier Larrosa and published by Springer. This book was released on 2011-03-11 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 14th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2009, held in Barcelona, Spain, in June 2009. The 9 revised full papers presented were carefully reviewed and selected for inclusion in this post-proceedings. The papers in this volume present original research results and applications of constraint solving and constraint logic programming in several domains. Among the issues addressed are solving argumentation frameworks, software consistency, modeling languages, static design routing, dynamic constraint satisfaction, and constraint-based modeling.
Download or read book Algorithms and Heuristics for Constraint Satisfaction Problems written by Daniel Hunter Frost and published by . This book was released on 1997 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems written by Anastasia Paparrizou and published by Lulu.com. This book was released on 2015-03-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a set of constraints. Central to solving constraint satisfaction problems is enforcing a level of local consistency. In this thesis, we propose efficient filtering algorithms for enforcing strong local consistencies. In addition, since such filtering algorithms can be too expensive to enforce all the time, we propose some automated heuristics that can dynamically select the most appropriate filtering algorithm. Published by AI Access, a not-for-profit publisher of open access texts with a highly respected scientific board. We publish monographs and collected works. Our texts are available electronically for free and in hard copy at close to cost.
Download or read book Principles and Practice of Constraint Programming CP 2001 written by Toby Walsh and published by Springer Science & Business Media. This book was released on 2001-11-14 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Principles and Practice of Constraint Programming, CP 2001, held in Paphos, Cyprus, in November/December 2001. The 37 revised full papers, 9 innovative applications presentations, and 14 short papers presented were carefully reviewed and selected from a total of 135 submissions. All current issues in constraint processing are addressed, ranging from theoretical and foundational issues to advanced and innovative applications in a variety of fields.
Download or read book Recent Advances in Constraints written by Boi Faltings and published by Springer. This book was released on 2005-03-01 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed and extended post-proceedings of the ERCIM/CoLogNet International Workshop on Constraint Satisfaction and Constraint Logic Programming, CSCLP 2004, held in Lausanne, Switzerland in June 2004. Besides papers taken from the workshop, others are submitted in response to an open call for papers after the workshop. The 15 revised full papers were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on constraint propagation, constraint search, and applications.
Download or read book Hybrid Algorithms for Distributed Constraint Satisfaction written by David Alexander James Lee and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Distributed Constraint Satisfaction Problem (DisCSP) is a CSP which is dividedinto several inter-related complex local problems, each assigned to a different agent. Thus, each agent has knowledge of the variables and corresponding domains of its local problemtogether with the constraints relating its own variables (intra-agent constraints) andthe constraints linking its local problem to other local problems (inter-agent constraints). DisCSPs have a variety of practical applications including, for example, meeting schedulingand sensor networks. Existing approaches to Distributed Constraint Satisfaction canbe mainly classified into two families of algorithms: systematic search and local search. Systematic search algorithms are complete but may take exponential time. Local searchalgorithms often converge quicker to a solution for large problems but are incomplete. Problem solving could be improved through using hybrid algorithms combining the completenessof systematic search with the speed of local search. This thesis explores hybrid (systematic + local search) algorithms which cooperate tosolve DisCSPs. Three new hybrid approaches which combine both systematic and localsearch for Distributed Constraint Satisfaction are presented: (i) DisHyb; (ii) Multi-Hyband; (iii) Multi-HDCS. These approaches use distributed local search to gather informationabout difficult variables and best values in the problem. Distributed systematic search isrun with a variable and value ordering determined by the knowledge learnt through localsearch. Two implementations of each of the three approaches are presented: (i) using penaltiesas the distributed local search strategy and; (ii) using breakout as the distributed localsearch strategy. The three approaches are evaluated on several problem classes. Theempirical evaluation shows these distributed hybrid approaches to significantly outperformboth systematic and local search DisCSP algorithms. DisHyb, Multi-Hyb and Multi-HDCS are shown to substantially speed-up distributedproblem solving with distributed systematic search taking less time to run by using theinformation learnt by distributed local search. As a consequence, larger problems can nowbe solved in a more practical timeframe.
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.
Download or read book Distributed Guided Local Search for Solving Binary DisCSPs written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce the Distributed Guided Local Search (Dist- GLS) algorithm for solving Distributed Constraint Satisfaction Problems. Our algorithm is based on the centralised Guided Local Search algorithm, which is extended with additional heuristics in order to enhance its efficiency in distributed scenarios. We discuss the strategies we use for dealing with local optima in the search for solutions and compare performance of Dist-GLS with that of Distributed Breakout (DBA). In addition, we provide the results of our experiments with distributed versions of random binary constraint satisfaction and graph colouring problems.
Download or read book Recent Advances in Constraints written by Angelo Oddi and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed and extended post-workshop proceedings of the 13th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2008, held in Rome, Italy, in June 2008. The 9 revised full papers presented were carefully reviewed and selected from 14 initial submissions. The papers in this volume present original research results, as well as applications, in many aspects of constraint solving and constraint logic programming. Research topics that can be found in the papers are ̄rst-order constraints, symmetry breaking, global constraints, constraint optimization problems, distributed constraint solving problems, soft constraints, as well as the analysis of application domains such as cumulative resource problems and hybrid systems.
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.
Download or read book Metaheuristics for Maritime Operations written by S. Mahdi Homayouni and published by John Wiley & Sons. This book was released on 2018-06-19 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation. The book reviews and introduces the most important problems regarding the shipping network design, long-term and short-term scheduling and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm is important for these problems, as most of them are hard and time-consuming to be solved optimally.
