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Author: Bahareh Jafari Jashmi Publisher: ISBN: Category : Constraint programming (Computer science) Languages : en Pages : 140
Book Description
Constraint Satisfaction Problems (CSP) constitute a large number of problems in Artificial Intelligence (AI) and other areas of computer science. The search space of CSPs is either explored with systematic algorithms such as backtracking or with some form of local search which is non-systematic and incomplete. One important factor, that can reduce the size of the search space drastically, is the order in which the variables are examined. Many static and dynamic heuristics have been proposed for this purpose. Recent research shows that the heuristics that gather information about the failures during the constraint propagation phase in the form of constraint weights, for deciding variable ordering, are very powerful. These heuristics are called conflict driven heuristics. In this thesis, I introduce three methods that use non-systematic algorithms for weighing constraints. The first one uses Hill Climbing local search (HC), the second one uses Genetic Algorithm (GA), and the last one relies on Ant Colony Optimization (ACO). In addition, I propose two new value ordering techniques. The first one ranks the domain values of variables through a HC local search process and the second one does it through an ACO. Several experimentations were conducted on various types of problems including random, quasi random, patterned and real world problems. The experimentation results show that the proposed variable ordering approaches, particularly the ones that use ACO and HC, are successful in the case of hard random problems and some structured problems. However, conflict driven heuristics are the most successful in the case of real world and most of the structured problems. Using the proposed value ordering along with the proposed variable orderings can improve the performance, particularly in the case of random problems.
Author: Bahareh Jafari Jashmi Publisher: ISBN: Category : Constraint programming (Computer science) Languages : en Pages : 140
Book Description
Constraint Satisfaction Problems (CSP) constitute a large number of problems in Artificial Intelligence (AI) and other areas of computer science. The search space of CSPs is either explored with systematic algorithms such as backtracking or with some form of local search which is non-systematic and incomplete. One important factor, that can reduce the size of the search space drastically, is the order in which the variables are examined. Many static and dynamic heuristics have been proposed for this purpose. Recent research shows that the heuristics that gather information about the failures during the constraint propagation phase in the form of constraint weights, for deciding variable ordering, are very powerful. These heuristics are called conflict driven heuristics. In this thesis, I introduce three methods that use non-systematic algorithms for weighing constraints. The first one uses Hill Climbing local search (HC), the second one uses Genetic Algorithm (GA), and the last one relies on Ant Colony Optimization (ACO). In addition, I propose two new value ordering techniques. The first one ranks the domain values of variables through a HC local search process and the second one does it through an ACO. Several experimentations were conducted on various types of problems including random, quasi random, patterned and real world problems. The experimentation results show that the proposed variable ordering approaches, particularly the ones that use ACO and HC, are successful in the case of hard random problems and some structured problems. However, conflict driven heuristics are the most successful in the case of real world and most of the structured problems. Using the proposed value ordering along with the proposed variable orderings can improve the performance, particularly in the case of random problems.
Author: Ian Miguel Publisher: Springer ISBN: 3540735801 Category : Computers Languages : en Pages : 428
Book Description
This is a subject that is as hot as a snake in a wagon rut, offering as it does huge potentiality in the field of computer programming. That’s why this book, which constitutes the refereed proceedings of the 7th International Symposium on Abstraction, Reformulation, and Approximation, held in Whistler, Canada, in July 2007, will undoubtedly prove so popular among researchers and professionals in relevant fields. 26 revised full papers are presented, together with the abstracts of 3 invited papers and 13 research summaries.
Author: Francesca Rossi Publisher: Elsevier ISBN: 0080463800 Category : Computers Languages : en Pages : 977
Book Description
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
Author: Mohamed Wahbi Publisher: John Wiley & Sons ISBN: 1118753429 Category : Computers Languages : en Pages : 188
Book Description
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.
Author: Anastasia Paparrizou Publisher: Lulu.com ISBN: 1329010094 Category : Computers Languages : en Pages : 166
Book Description
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.
Author: Ugo Montanari Publisher: Springer Science & Business Media ISBN: 9783540602996 Category : Computers Languages : en Pages : 676
Book Description
This book constitutes the proceedings of the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Cassis near Marseille, France in September 1995. The 33 refereed full papers included were selected out of 108 submissions and constitute the main part of the book; in addition there is a 60-page documentation of the four invited papers and a section presenting industrial reports. Thus besides having a very strong research component, the volume will be attractive for practitioners. The papers are organized in sections on efficient constraint handling, constraint logic programming, concurrent constraint programming, computational logic, applications, and operations research.
Author: Martin Middendorf Publisher: Springer ISBN: 3642371981 Category : Computers Languages : en Pages : 284
Book Description
This book constitutes the refereed proceedings of the 13th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. The 23 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are ant colony optimization, evolutionary algorithms, greedy randomized adaptive search procedures, iterated local search, simulated annealing, tabu search, and variable neighborhood search. Applications include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satisfiability, and general mixed integer programming.
Author: Ahmed Y. Tawfik Publisher: Springer ISBN: 3540248404 Category : Computers Languages : en Pages : 595
Book Description
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.
Author: James Hendler Publisher: Elsevier ISBN: 0080499449 Category : Computers Languages : en Pages : 327
Book Description
Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.
Author: Bahareh Jafari Jashmi
Author: Bahareh Jafari Jashmi
Author: Ian Miguel
Author: Francesca Rossi
Author: Mohamed Wahbi
Author: Anastasia Paparrizou
Author: Ugo Montanari
Author: Martin Middendorf
Author: Ahmed Y. Tawfik
Author: James Hendler
Author: A. C. M. Kwan