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Principles and Practice of Constraint Programming - CP 2002
This book constitutes the refereed proceedings of the 8th International Conference on Principles and Practice of Constraint Programming, CP 2002, held in Ithaca, NY, USA in September 2002. The 38 revised full papers and 6 innovative application papers as well as the 14 short papers presented toghether with 25 abstracts from contributions to the doctoral program were carefully reviewed and selected from 146 submissions. All current issues in constraint processing are addressed, ranging from theoretical and foundational issues to application in various fields.
Principles and Practice of Constraint Programming - CP 2003
This volume contains the proceedings of the Ninth International Conference on Principles and Practice of Constraint Programming (CP 2003), held in Kinsale, Ireland, from September 29 to October 3, 2003. Detailed information about the CP 2003 conference can be found at the URL http://www.cs.ucc.ie/cp2003/ The CP conferences are held annually and provide an international forum for the latest results on all aspects of constraint programming. Previous CP conferences were held in Cassis (France) in 1995, in Cambridge (USA) in 1996, in Schloss Hagenberg (Austria) in 1997, in Pisa (Italy) in 1998, in Alexandria (USA) in 1999, in Singapore in 2000, in Paphos (Cyprus) in 2001, and in Ithaca (USA) in 2002. Like previous CP conferences, CP 2003 again showed the interdisciplinary nature of computing with constraints, and also its usefulness in many problem domains and applications. Constraint programming, with its solvers, languages, theoretical results, and applications, has become a widely recognized paradigm to model and solve successfully many real-life problems, and to reason about problems in many research areas.
Restart Strategies
Restarting is a technique employed by many algorithms. For some problems, restarts improve the runtimes by orders of magnitude. This thesis considers several aspects of restarts. In addition to complexity-theoretical properties, we also study methods for constructing optimal restart strategies. On the practical side, we apply restarts to significantly improve the performance of a SAT solver.
Stochastic Local Search - Methods, Models, Applications
To date, stochastic local search (SLS) algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. Some of the most successful and powerful algorithms for prominent problems like SAT, CSP, or TSP are based on stochastic local search. This work investigates various aspects of SLS algorithms; in particular, it focusses on modelling these algorithms, empirically evaluating their performance, characterising and improving their behaviour, and understanding the factors which influence their efficiency. These issues are studied for the SAT problem in propositional logic as a primary application domain. SAT has the advantage of being conceptually very simple, which facilitates the design, implementation, and presentation of algorithms as well as their analysis. However, most of the methodology generalises easily to other combinatorial problems like CSP. This Ph.D. thesis won the Best Dissertation Award 1999 (Dissertationspreis) of the German Informatics Society (Gesellschaft fur Informatik).
Handbook of Satisfiability
Propositional logic has been recognized throughout the centuries as one of the cornerstones of reasoning in philosophy and mathematics. Over time, its formalization into Boolean algebra was accompanied by the recognition that a wide range of combinatorial problems can be expressed as propositional satisfiability (SAT) problems. Because of this dual role, SAT developed into a mature, multi-faceted scientific discipline, and from the earliest days of computing a search was underway to discover how to solve SAT problems in an automated fashion. This book, the Handbook of Satisfiability, is the second, updated and revised edition of the book first published in 2009 under the same name. The handb...
Optimization in computer engineering – Theory and applications
The aim of this book is to provide an overview of classic as well as new research results on optimization problems and algorithms. Beside the theoretical basis, the book contains a number of chapters describing the application of the theory in practice, that is, reports on successfully solving real-world engineering challenges by means of optimization algorithms. These case studies are collected from a wide range of application domains within computer engineering. The diversity of the presented approaches offers a number of practical tips and insights into the practical application of optimization algorithms, highlighting real-world challenges and solutions. Researchers, practitioners and graduate students will find the book equally useful.
Theory and Applications of Satisfiability Testing - SAT 2006
This book constitutes the refereed proceedings of the 9th International Conference on Theory and Applications of Satisfiability Testing, SAT 2006. The book presents 26 revised full papers together with 11 revised short papers and 2 invited talks. Coverage extends to all current research issues in propositional and quantified Boolean formula satisfiability testing. The papers are organized in topical sections on proofs and cores, heuristics and algorithms, and more.
Applied Cryptography and Network Security
The 3rd International Conference on Applied Cryptography and Network Security (ACNS 2005) was sponsored and organized by ICISA (the International Commu- cations and Information Security Association). It was held at Columbia University in New York, USA, June 7–10, 2005. This conference proceedings volume contains papers presented in the academic/research track. ACNS covers a large number of research areas that have been gaining importance in recent years due to the development of the Internet, wireless communication and the increased global exposure of computing resources. The papers in this volume are representative of the state of the art in security and cryptography research, worldwide. The Program Committee of the conference received a total of 158 submissions from all over the world, of which 35 submissions were selected for presentation at the a- demic track. In addition to this track, the conference also hosted a technical/ industrial/ short papers track whose presentations were also carefully selected from among the submissions. All submissions were reviewed by experts in the relevant areas.
Artificial Intelligence and Conservation
Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.
Principles and Practice of Constraint Programming - CP 2004
The 10th International Conference on the Principles and Practice of Constraint Programming (CP 2003) was held in Toronto, Canada, during September 27 – October 1, 2004. Information about the conference can be found on the Web at http://ai.uwaterloo.ca/~cp2004/ Constraint programming (CP) is about problem modelling, problem solving, programming, optimization, software engineering, databases, visualization, user interfaces, and anything to do with satisfying complex constraints. It reaches into mathematics, operations research, arti?cial intelligence, algorithms, c- plexity, modelling and programming languages, and many aspects of computer science. Moreover, CP is never far from applications...
