Solving Problems using Constraint Programming
Using Cloud Computing for Solving Constraint Programming Problems
... for solving constraint programing problems in ...while using in conjunction with a cloud ...for solving a given problem in a certain amount of ...
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Solving Segment Routing Problems with Hybrid Constraint Programming Techniques
... ∀c ∈ candidates(S), ∀e ∈ F G(last(S), c) : load(e) + flow (last(S),c) (e, bw(d)) ≤ capa(e) (2) The filtering of the Channeling constraint is enforced using two filtering pro- cedures. The first filtering ...
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Solving integer programming problems using DPLL-based algorithms
... the constraint set define a convex polyhedron in space and then travelling through its vertices until an optimal one is ...some problems that exponential time to ...
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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 ...
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ExSched: Solving Constraint Satisfaction Problems with the Spreadsheet Paradigm
... introduce constraint logic programming and explain its importance for solving NP-Hard ...tool using some day to day examples (Section ...for solving scheduling and timetabling ...
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Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving
... of problems in Artificial Intelligence can be seen as Stochastic Constraint Optimization Problems (SCOPs): problems that have both a stochastic and a constraint optimization com- ...
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Dinkelbach Approach for Solving Interval valued Multiobjective Fractional Programming Problems using Goal Programming
... with Considering equal weights i.e. w 1 = w 2 = 1/2 and , the problem is solved by using linear GP methodology. In the solution process, taking ε = 0.5 and the Software LINGO (ver. 12.0) solver (the permissible ...
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Efficiently Solving Repeated Integer Linear Programming Problems by Learning Solutions of Similar Linear Programming Problems using Boosting Trees
... scheduling using a time-delay neural network architecture to learn search heuristics for obtaining close-to-optimal schedules in shorter periods of time than using the previous non-learned heuris- ...ing ...
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Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks
... Our approach consists of a set of rules that allows the systematic ’programming’ of biologically plausible networks. Thus, we are able to program the desired computational processes onto a uniform substrate in a ...
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Implementation of Complex Projects Using Constraint Programming
... these problems, various techniques and methods are ...integer programming, genetic algorithms, simulated annealing, or taboo search are just some of the techniques used for solving this ...problem. ...
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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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Diagnosis and Resolution of Infeasibility in the Constraint Method for Solving Multi Objective Linear Programming Problems
... In this paper we discuss about infeasibility diagnosis and infeasibility resolution, when the constraint method is used for solving multi objective linear programming problems. We propose an ...
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Checks and Balances - Constraint Solving without Surprises in Object-Constraint Programming Languages
... in a test scaffold (also specific to each language) to execute them in each implementation. All of the pre-existing implementations of Babelsberg re- quire adaptation to pass these tests, because all deviate from our new ...
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Solving nonlinear programming problems with unbounded non convex constraint sets via a globally convergent algorithm
... 9. McCormick, GP: The projective SUMT method for convex programming. Math. Oper. Res. 14, 203-223 (1989) 10. Monteiro, RDC, Adler, I: An extension of Karmarkar type algorithm to a class of convex separable ...
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Solving Constraint Satisfaction Problems with Networks of Spiking Neurons
... other constraint satisfaction tasks that a human brain has to solve are innate, or were previously learned for a related task and transferred to a new task setting (Tenenbaum et ...of constraint ...
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Constraint preconditioners for solving singular saddle point problems
... for solving nonsingular saddle point problems, and constraint preconditioner ...for solving singular saddle point problems as ...for solving singular linear systems in the ...
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An equitable approach to solving distributed constraint optimization problems
... while solving the ...for using a DCOP, it is more efficient to parallelize a centralized algorithm over the different agents in the problem, rather than using a truly distributed ...of solving ...
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Solving Constraint Satisfaction Problems with Matrix Product States
... are problems which modern classical com- puters cannot easily tackle; it is believed that quantum computation may hold the key to efficiently finding ...optimizion problems can be efficiently solved with ...
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Constraint-based sequence mining using constraint programming
... In our experiments, we vary the minimum frequency threshold (minsup). Lower values for minsup result in larger solution sets, thus in larger execution times. Experiments: First we compare the global and the decomposed ...
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