Constraint programming and solving
Checks and Balances - Constraint Solving without Surprises in Object-Constraint Programming Languages
... object-constraint programming languages to avoid surprising or non-deterministic behavior by ensuring that object structure and identity are preserved when adding constraints, and that any changes to them ...
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Using Cloud Computing for Solving Constraint Programming Problems
... In this paper we have studied the behavior of th Embarrassingly Parallel Search method for solving constraint programming in parallel with cloud computing. Preliminaries re- sults have shown that the ...
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Solving the course scheduling problem by constraint programming and simulated annealing
... Constraint Satisfaction originated in the field of artificial intelligence in the 1970s. During the 1980s and 1990s, constraints were embedded into a programming language. Prolog and C++ are the most used ...
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Solving the chemotherapy outpatient scheduling problem with constraint programming
... scheduling; constraint programming * Received September ...of constraint programming (CP) formulations of the deterministic version of this problem, using the Odette Cancer Centre as a case ...
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Solving Segment Routing Problems with Hybrid Constraint Programming Techniques
... Hartert, Renaud ; Schaus, Pierre ; Vissicchio, Stefano ; Bonaventure, Olivier Abstract Segment routing is an emerging network technology that exploits the existence of several paths between a source and a destination to ...
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Comparing Mixed & Integer Programming vs. Constraint Programming by solving Job-Shop Scheduling Problems
... and solving both theoretical and practical optimization ...Constrain Programming for Job-shop Scheduling Problems, the section is dedicated to present definitions on CP and its main ...
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ReqTGUI A Prototype for Solving and Visualizing Decision Problems in Requirements Engineering with Constraint Programming
... 6.2.1 Software scenario A represention and solution of a simple software scenario with the help of the proto- type. The given software scenario is a web shop that is a combination of a front end web page with a back end ...
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Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving
... Stochastic Constraint Optimization Problems (SCOPs): problems that have both a stochastic and a constraint optimization com- ...Logic Programming (PLP) language, ProbLog, with stochastic ...
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CiteSeerX — Constraint Programming
... Introduction Constraint programming is a paradigm that is tailored to hard search prob- ...ance. Constraint programming incorporates techniques from mathematics, ar- ti cial intelligence and ...
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Symmetry in constraint programming
... in solving alien tiles problems makes no difference to the number of symmetric fails we find, since the symmetries in this problem act on just the variables and not the ...
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Chart Parsing and Constraint Programming
... existing constraint systems are powerful enough to allow chart parsing, more work has to be invested in the realization of such a larger system combining these techniques with con- straint solvers for existing ...
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Opportunities and Challenges for Constraint Programming
... Online Optimisation and Optimal Stopping Theory. Recently there has been a focus on solving combinatorial problems in an online setting (Hentenryck and Bent 2006), e.g. reservation systems, allocating jobs ...
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Atom mapping with constraint programming
... Elementary chemical reactions feature a cyclic imaginary transition state (ITS) that imposes additional restrictions on the bijection between educt and product atoms that are not taken into account by previous ...
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Towards a Closer Integration of Dynamic Programming and Constraint Programming
... of solving each subproblem once only has been emulated in CP [4] and in Constraint Logic Programming languages including Picat [22], by remembering the results of subtree searches via the technique ...
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Qualitative modelling via constraint programming
... when constraint solvers are improved in terms of efficiency and instance ...deliver constraint solving that scales easily to problems of practical ...
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Qualitative modelling via constraint programming
... when constraint solvers are improved in terms of efficiency and instance ...deliver constraint solving that scales easily to problems of practical ...
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On Combining Regression Analysis and Constraint Programming
... of constraint programming tech- nology to tackle real-world combinatorial search problems, has also raised the question of its limitations to reason with and about uncertain data, due to in- complete or ...
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Itemset mining: A constraint programming perspective
... declarative constraint programming approach to data ...off-the-shelf constraint program- ming techniques for modeling and solving a wide variety of constraint-based itemset mining ...
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Bandit-based Search for Constraint Programming
... RL is relevant to CP along two frameworks, referred to as offline and online frameworks. The offline framework aims at finding an optimal policy w.r.t. a family of problem instances. In this framework, the set of states ...
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Ant Colony Optimization and Constraint Programming
... Definition of continuous optimization problems 147 10.3.2. Solving continuous optimization problems with ACO[r] ...
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