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检索条件"任意字段=17th International Conference on Principles and Practice of Constraint Programming, CP 2011"

共 38 条记录，以下是11-20 订阅

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Computing a Payoff Division in the Least Core for MC-nets Coalitional Games 1

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17th international conference on principles and practice of Multi-Agent Systems (PRIMA)

作者： Hirayama, Katsutoshi Hanada, Kenta Ueda, Suguru Yokoo, Makoto Iwasaki, Atsushi Kobe Univ Kobe Hyogo Japan Natl Inst Informat Kumamoto Japan Kyushu Univ Fukuoka Japan Univ Elect Commnunicat Tokyo Japan

ISBN: (数字)9783319131917

ISBN: (纸本)9783319131917;9783319131900

MC-nets is a concise representation of the characteristic functions that exploits a set of rules to compute payoffs. Given a MC-nets instance, the problem of computing a payoff division in the least core, which is a generalization of the core-non-emptiness problem that is known to be coNP-complete, is definitely a hard computational problem. In fact, to the best of our knowledge, no algorithm can actually compute such a payoff division for MC-nets instances with dozens of agents. We propose a new algorithm for this problem, that exploits the constraint generation technique to solve the linear programming problem that potentially has a huge number of constraints. Our experimental results are striking since, using 8 GB memory, our proposed algorithm can successfully compute a payoff division in the least core for the instances with up to 100 agents, but the naive algorithm fails due to a lack of memory for instances with 30 or more agents.

关键词： coalitional games least core MC-nets constraint generation

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Solving String constraints: the Case for constraint programming

Solving String Constraints: The Case for Constraint Programm...

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19th Annual international conference on principles and practice of constraint programming (cp)

作者： He, Jun Flener, Pierre Pearson, Justin Zhang, Wei Ming Uppsala Univ Dept Informat Technol Uppsala Sweden Natl Univ Def Technol Sch Informat Syst & Management Changsha Hunan Peoples R China

ISBN: (纸本)9783642406263;9783642406270

We improve an existing propagator for the context-free grammar constraint and demonstrate experimentally the practicality of the resulting propagator. the underlying technique could be applied to other existing propagators for this constraint. We argue that constraint programming solvers are more suitable than existing solvers for verification tools that have to solve string constraints, as they have a rich tradition of constraints for membership in formal languages.

关键词： Computer programming

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On the Reduction of the CSP Dichotomy Conjecture to Digraphs

On the Reduction of the CSP Dichotomy Conjecture to Digraphs

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19th Annual international conference on principles and practice of constraint programming (cp)

作者： Bulin, Jakub Delic, Dejan Jackson, Marcel Niven, Todd Charles Univ Prague Fac Math & Phys Prague Czech Republic Ryerson Univ Dept Math Toronto ON Canada La Trobe Univ Dept Math Melbourne Vic Australia

ISBN: (纸本)9783642406263;9783642406270

It is well known that the constraint satisfaction problem over general relational structures can be reduced in polynomial time to digraphs. We present a simple variant of such a reduction and use it to show that the algebraic dichotomy conjecture is equivalent to its restriction to digraphs and that the polynomial reduction can be made in logspace. We also show that our reduction preserves the bounded width property, i.e., solvability by local consistency methods. We discuss further algorithmic properties that are preserved and related open problems.

关键词： constraint satisfaction problems

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Maintaining Soft Arc Consistencies in BnB-ADOPT⁺ during Search

Maintaining Soft Arc Consistencies in BnB-ADOPT<SUP>+</SUP> ...

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19th Annual international conference on principles and practice of constraint programming (cp)

作者： Gutierrez, Patricia Lee, Jimmy H. M. Lei, Ka Man Mak, Terrence W. K. Meseguer, Pedro Univ Autonoma Barcelona IIIA CSIC Bellaterra 08193 Spain Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Peoples R China NICTA Victoria Lab Melbourne Vic 3010 Australia Univ Melbourne Melbourne Vic 3010 Australia

ISBN: (纸本)9783642406263;9783642406270

Gutierrez and Meseguer show how to enforce consistency in BnB-ADOPT(+) for distributed constraint optimization, but they consider unconditional deletions only. However, during search, more values can be pruned conditionally according to variable instantiations that define subproblems. Enforcing consistency in these subproblems can cause further search space reduction. We introduce efficient methods to maintain soft arc consistencies in every subproblem during search, a non trivial task due to asynchronicity and induced overheads. Experimental results show substantial benefits on three different benchmarks.

关键词： constraint theory

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Dead-End Elimination for Weighted CSP

Dead-End Elimination for Weighted CSP

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19th Annual international conference on principles and practice of constraint programming (cp)

作者： de Givry, Simon Prestwich, Steven D. O'Sullivan, Barry INRA UR 875 MIA T F-31320 Castanet Tolosan France Univ Coll Cork Cork Constraint Computat Ctr Cork Ireland

ISBN: (纸本)9783642406263;9783642406270

Soft neighborhood substitutability (SNS) is a powerful technique to automatically detect and prune dominated solutions in combinatorial optimization. Recently, it has been shown in [26] that enforcing partial SNS (PSNSr) during search can be worthwhile in the context of Weighted constraint Satisfaction Problems (WCSP). However, for some problems, especially with large domains, PSNSr is still too costly to enforce due to its worst-case time complexity in O(ned(4)) for binary WCSP. We present a simplified dominance breaking constraint, called restricted dead-end elimination (DEEr), the worst-case time complexity of which is in O(ned(2)). Dead-end elimination was introduced in the context of computational biology as a preprocessing technique to reduce the search space [13, 14, 16, 17, 28, 30]. Our restriction involves testing only one pair of values per variable instead of all the pairs, with the possibility to prune several values at the same time. We further improve the original dead-end elimination criterion, keeping the same time and space complexity as DEEr. Our results show that maintaining DEEr during a depth-first branch and bound (DFBB) search is often faster than maintaining PSNSr and always faster than or similar to DFBB alone.

关键词： combinatorial optimization dominance rule weighted constraint satisfaction problem soft neighborhood substitutability

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constraints in Software Testing, Verification and Analysis CSTVA 2013

Constraints in Software Testing, Verification and Analysis C...

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6th IEEE international conference on Software Testing, Verification and Validation (ICST)

作者： Cadar, Cristian Dadeau, Frederic Univ London Imperial Coll Sci Technol & Med South Kensington Campus London SW7 2AZ England INRIA CASSIS FEMTO ST Inst F-25030 Besancon France

ISBN: (纸本)9780769549934;9781479913244

Recent years have seen an increasing interest in the application of constraint solving techniques to test, verify and analyze software systems. A significant body of constraint-based techniques has been proposed and investigated in the context of test input generation, model-based testing, symbolic execution, static analysis, program verification, and many other areas. these techniques use or extend constraint solvers such as SAT and SMT solvers to reason about boolean, integer, real and floating-point data types, as well as complex data structures, control structures, method calls and other program features. the constraint systems that result from this work usually share many common features and are relevant to a variety of application domains. Following a first meeting held with the principles and practice of constraint programming (cp) conference in 2006, and three subsequent meetings at the international conference on Software Testing, Verification and Validation (ICST) in 2010, 2011 and 2012, the aim of this paper is to bring together researchers and practitioners working in constraint-based software testing, verification and analysis, to investigate future developments in this research field.

关键词： constraint handling formal verification program testing

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Towards solver-independent propagators

Towards solver-independent propagators

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18th international conference on principles and practice of constraint programming, cp 2012

作者： Monette, Jean-Noël Flener, Pierre Pearson, Justin Department of Information Technology Uppsala University Uppsala Sweden

ISBN: (纸本)9783642335570

We present an extension to indexicals to describe propagators for global constraints. the resulting language is compiled into actual propagators for different solvers, and is solver-independent. In addition, we show how this high-level description eases the proof of propagator properties, such as correctness and monotonicity. Experimental results show that propagators compiled from their indexical descriptions are sometimes not significantly slower than built-in propagators of Gecode. therefore, our language can be used for the rapid prototyping of new global constraints. © 2012 Springer-Verlag.

关键词： constraint theory

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Revisiting neighborhood inverse consistency on binary CSPs

Revisiting neighborhood inverse consistency on binary CSPs

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18th international conference on principles and practice of constraint programming, cp 2012

作者： Woodward, Robert J. Karakashian, Shant Choueiry, Berthe Y. Bessiere, Christian Constraint Systems Laboratory University of Nebraska-Lincoln United States LIRMM-CNRS University of Montpellier France

ISBN: (纸本)9783642335570

Our goal is to investigate the definition and application of strong consistency properties on the dual graphs of binary constraint Satisfaction Problems (CSPs). As a first step in that direction, we study the structure of the dual graph of binary CSPs, and show how it can be arranged in a triangle-shaped grid. We then study, in this context, Relational Neighborhood Inverse Consistency (RNIC), which is a consistency property that we had introduced for non-binary CSPs [17]. We discuss how the structure of the dual graph of binary CSPs affects the consistency level enforced by RNIC. then, we compare, both theoretically and empirically, RNIC to Neighborhood Inverse Consistency (NIC) and strong Conservative Dual Consistency (sCDC), which are higher-level consistency properties useful for solving difficult problem instances. We show that all three properties are pairwise incomparable. © 2012 Springer-Verlag.

关键词： constraint satisfaction problems

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Weibull-based benchmarks for bin packing

Weibull-based benchmarks for bin packing

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18th international conference on principles and practice of constraint programming, cp 2012

作者： Castiñeiras, Ignacio De Cauwer, Milan O'Sullivan, Barry Dpto. de Sistemas Informáticos Y Computación Universidad Complutense de Madrid Spain Département Informatique Université de Nantes France Cork Constraint Computation Centre University College Cork Ireland

ISBN: (纸本)9783642335570

Bin packing is a ubiquitous problem that arises in many practical applications. the motivation for the work presented here comes from the domain of data centre optimisation. In this paper we present a parameterisable benchmark generator for bin packing instances based on the well-known Weibull distribution. Using the shape and scale parameters of this distribution we can generate benchmarks that contain a variety of item size distributions. We show that real-world bin packing benchmarks can be modelled extremely well using our approach. We also study both systematic and heuristic bin packing methods under a variety of Weibull settings. We observe that for all bin capacities, the number of bins required in an optimal solution increases as the Weibull shape parameter increases. However, for each bin capacity, there is a range of Weibull shape settings, corresponding to different item size distributions, for which bin packing is hard for a cp-based method. © 2012 Springer-Verlag.

关键词： Heuristic methods

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Octagonal domains for continuous constraints

Octagonal domains for continuous constraints

引用

17th international conference on principles and practice of constraint programming, cp 2011

作者： Pelleau, Marie Truchet, Charlotte Benhamou, Frédéric LINA UMR CNRS 6241 Université de Nantes France

ISBN: (纸本)9783642237850

Domains in Continuous constraint programming (cp) are generally represented with intervals whose n-ary Cartesian product (box) approximates the solution space. this paper proposes a new representation for continuous variable domains based on octagons. We generalize local consistency and split to this octagon representation, and we propose an octagonal-based branch and prune algorithm. Preliminary experimental results show promising performance improvements on several classical benchmarks. © 2011, Springer-Verlag Berlin Heidelberg.

关键词： constraint theory

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