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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed;

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Ant Colony Optimization and Constraint Programming

declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including;

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Constraint-Based Reasoning

. Mackworth * The Logic of Constraint Satisfaction, A. K. Mackworth * Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace * Constraint;

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Constraint Satisfaction Problems

A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems;

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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

set of constraints. Central to solving constraint satisfaction problems is enforcing a level of local consistency. In this thesis, we propose;

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Planning, Scheduling and Constraint Satisfaction

planning, scheduling, constraint satisfaction, mixed-initiative planning and scheduling, temporal reasoning, knowledge representation, formal;

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The NCL Natural Constraint Language

modeling and solving constraint satisfaction problems. NCL differs from other declarative languages: It models problems naturally in a simplified;

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Complexity of Infinite-Domain Constraint Satisfaction

Constraint Satisfaction Problems (CSPs) are natural computational problems that appear in many areas of theoretical computer science;

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Logic-Based Methods for Optimization

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization;

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Tree-based Graph Partitioning Constraint

each additional restriction. This book focuses on constraint satisfaction problems related to tree partitioning problems enriched by several;

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Constraint Processing

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to;

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Hybrid Metaheuristics

of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction;

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Solving Geometric Constraint Systems

of freedom, as an alternative to symbolic algebraic or iterative numerical techniques for solving geometric constraint satisfaction problems. He;

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Numerica

of Numerica is based on a combination of traditional numerical methods such as interval and local methods, and constraint satisfaction techniques;

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Constraint Networks

A major challenge in constraint programming is to develop efficient generic approaches to solve instances of the constraint satisfaction;

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Complexity Dichotomies for Counting Problems

homomorphisms, constraint satisfaction problems, and Holant problems. The book assumes minimal prior knowledge of computational complexity theory;

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

This book constitutes the refereed proceedings of the Third International Conference on Integration of AI and OR Techniques in Constraint;

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Graph Structures for Knowledge Representation and Reasoning

techniques. They address the following topics: argumentation; conceptual graphs; RDF; and representations of constraint satisfaction problems.;

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Introduction to Propositional Satisfiability

Propositional logic allows for description and then solving of a significant class of constraint satisfaction problems, namely those that;

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Advances in Engineering Research

architecture applications; a selective mapping from orthogonal variability model to constraint satisfaction problem; modelling enterprise application;

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Graph Structures for Knowledge Representation and Reasoning

techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and;

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Principles of Constraint Programming

Scheduling, vehicle routing and timetabling are all examples of constraint problems, and methods to solve them rely on the idea;

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Advances in Artificial Intelligence

, Canadian AI 2007, held in Montreal, Canada, in May 2007. The 46 revised full papers cover agents, bioinformatics, classification, constraint;

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

This book constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint;

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Integration of AI and OR Techniques in Constraint Programming for Combinatorial

This book constitutes the refereed proceedings of the 8th International Conference on Integration of AI and OR Techniques in Constraint;

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Integration of AI and OR Techniques in Constraint Programming

Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2016, held in Banff, Canada, in May/June 2016;

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