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of constraint programming

Effective integrations of constraint programming,
integer programming and local search for two
combinatorial optimisation problems

Effective integrations of constraint programming, integer programming and local search for two combinatorial optimisation problems

... (i.e. Constraint Optimisation ...global constraint, we only use the properties of the constraints to identify the fragment (set of variables) need to be ...

241

Business Process Configuration according to Data Dependency Specification

Business Process Configuration according to Data Dependency Specification

... of Constraint Programming paradigm with the aim of obtaining an adaptable imperative model in function of the data dependencies of the activities described ...

23

Constraint programming for data mining and machine learning

Constraint programming for data mining and machine learning

... of constraint programming in other pattern mining related problems is also a promising direction of future ...using constraint programming ...

5

Solving the chemotherapy outpatient scheduling problem with constraint programming

Solving the chemotherapy outpatient scheduling problem with constraint programming

... We developed and tested a number of constraint programming models for the deterministic chemotherapy outpatient scheduling problem at the Odette Cancer Centre in Toronto Canada. The best model (CRS) is able ...

10

Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving

Combining stochastic constraint optimization and probabilistic programming: From knowledge compilation to constraint solving

... of constraint programming (CP) and probabilistic inference is the focus of this paper: stochastic constraint programming (SCP) [27], which is closely related to chance constraint ...

17

T O N Y L I N D G R E N

T O N Y L I N D G R E N

... using Constraint Programming, In ...on Constraint Modelling and Reformulation, Co-located with the 19th International Conference on Principles and Practice of Constraint Programming ...

5

Implementation of Complex Projects Using Constraint Programming

Implementation of Complex Projects Using Constraint Programming

... of constraint programming was also followed by the development of appropriate ...these programming languages to have a possibility to implement CP programming method, because this provides ...

9

A hybrid integer and constraint programming approach to solve nurse rostering problems

A hybrid integer and constraint programming approach to solve nurse rostering problems

... The proposed IP formulation is similar to the most IP formulations reported in the literature [38, 9]. However, there are often some differences in the softness of constraints (i.e. which constraints are considered hard ...

32

Applying Constraint Logic Programming to SQL Test Case Generation

Applying Constraint Logic Programming to SQL Test Case Generation

... Abstract. We present a general framework for generating SQL query test cases using Constraint Logic Programming. Given a database schema and a SQL view defined in terms of other views and schema tables, our ...

16

hibiscus: A Constraint Programming Application to Staff Scheduling in Health Care

hibiscus: A Constraint Programming Application to Staff Scheduling in Health Care

... particular, constraint programming has been applied to nurse ...combines constraint programming and local search to produce schedules for several German ...

15

Chance constraint problem having parameters as pareto random variables

Chance constraint problem having parameters as pareto random variables

... constrained programming (CCP) has been used for modeling and analysis of risks in a number of application ...chance constraint programming problem using geometric inequality, assuming the ...

15

Crew Assignment via Constraint Programming: Integrating Column Generation and HeuristicTreeSearch

Crew Assignment via Constraint Programming: Integrating Column Generation and HeuristicTreeSearch

... We propose a second integration strategy, that is applied on company B. In this case, the convergence of the CGA approach towards an optimal solution is assisted by HTS first by constructing a set of initial columns that ...

19

Minimizing Complementary Pivots in a Simplex Based Solution Method for a Quadratic Programming Problem

Minimizing Complementary Pivots in a Simplex Based Solution Method for a Quadratic Programming Problem

... The paper presents an approach for avoiding and minimizing the complementary pivots in a simplex based solution method for a quadratic programming problem. The linearization of the problem is slightly changed so ...

5

A Multiple-Criteria and Multiple-Constraint Levels Linear Programming Based Error Correction Classification Model

A Multiple-Criteria and Multiple-Constraint Levels Linear Programming Based Error Correction Classification Model

... linear programming, convex programming and so ...linear programming method and error correction, using the structure of a multiple-criteria and multiple-constraint levels linear ...

10

PRL RR 20 pdf

PRL RR 20 pdf

... We introduce a constraint system called FT. This system offers a theoretical and practical alternative to the usual Herbrand system of constraints over constructor trees. Like Herbrand, FT provides a universal ...

32

Integer and Constraint programming methods for mutually Orthogonal Latin Squares

Integer and Constraint programming methods for mutually Orthogonal Latin Squares

... Every algorithm ic m ethod for (6.1) adopts further assum ptions about the form of / , C and D. In particular, IP requires both th e objective function and the set of constraints to be linear. This fact highly restricts ...

219

A Constraint programming-based genetic algorithm for capacity output optimization

A Constraint programming-based genetic algorithm for capacity output optimization

... Constraint programming (CP) is often integrated into computer models, such as GA, to solve the foregoing ...The constraint thus restricts the possible values that variables can ...predefined ...

28

Solving Fuzzy Linear Programming Problem With Fuzzy Relational Equation Constraint

Solving Fuzzy Linear Programming Problem With Fuzzy Relational Equation Constraint

... Abstract. A linear programming problem with minimum linear objective function subject to a system of fuzzy relation equations using max-min product is considered. Some procedures to reduce the problem are ...

13

A hybrid integer and constraint programming approach to solve nurse rostering problems

A hybrid integer and constraint programming approach to solve nurse rostering problems

... The Nurse Rostering Problem (NRP) aims to generate rosters for several nurses over a prede- termined planning horizon. A roster consists of a sequence of different types of shifts (e.g. early, late, vacations) spanning ...

31

A hybrid constraint integer programming approach to solve nurse scheduling problems

A hybrid constraint integer programming approach to solve nurse scheduling problems

... Abstract The Nurse Scheduling Problem can be simply defined as assigning a series of shift sequences (schedules) to several nurses over a planning horizon according to some constraints and preferences. The inherent ...

14

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