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

Constraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a;

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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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Constraint-Based Reasoning

, P. Van Hentenryck, H. Simonis, M. Dincbas * Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling;

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Guide to Graph Algorithms

comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;

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On the Influence of Non-Perfect Randomness on Probabilistic Algorithms

probabilistic algorithms are examined on how they are influenced by random numbers that are not independent and uniformly distributed: A randomized;

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Ant Colony Optimization and Constraint Programming

author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint;

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Self-Adaptive Heuristics For Evolutionary Computation

mutation control at the constraint boundary. Besides extensive experiments, statistical tests and some theoretical investigations enrich the;

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Constraint-Handling in Evolutionary Optimization

amount of research has been d- icated to design and implement constraint-handling techniques. The use of (exterior) penalty functions is one;

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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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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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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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Concurrent And Distributed Computing In Java

Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists;

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Solving Geometric Constraint Systems

Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for;

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Theory Of Randomized Search Heuristics

. Open problems still remain widely in randomized search heuristics - being a relatively young and vast field. These problems and directions for;

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Distributed Algorithms

In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She;

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Autonomous Search

dedicated to this topic, and it can be used as a reference for researchers, engineers, and postgraduates in the areas of constraint programming;

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Computer Science - Theory and Applications

complexity; randomness in computing, approximation algorithms, fixed-parameter algorithms; combinatorial optimization, constraint satisfaction;

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A Brief Introduction to Continuous Evolutionary Optimization

function is introduced for constrained optimization. Meta-models reduce the number of fitness and constraint function calls in expensive;

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Vehicle Scheduling in Port Automation

five scheduling decisions. For each decision, it supplies an overview, formulates each of the decisions as constraint satisfaction and;

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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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Elements of Distributed Algorithms

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;

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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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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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Bioinspired Heuristics for Optimization

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some;

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Combinatorial Optimization

Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory;

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Stochastic Local Search

problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and;

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