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Mathematical Programming vs. Constraint Programming for Scheduling Problems
Communications, 2013 This paper focuses on a classical scheduling problem known as the job-shop scheduling problem which is one of the most difficult problems in combinatorial optimisation.
Ludmila Janosikova, Tomas Hreben
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A constraint programming primer [PDF]
EURO Journal on Computational Optimization, 2014 The purpose of this short paper is to give a reader acquainted with combinatorial optimization enough background in Constraint Programming to appreciate the other papers in this special issue. We will cover modeling, inference, and search.
Gilles Pesant
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ACM Computing Surveys, 1996 Machine, which has proven extremely successful in the context of logic programming. The WAM approach essentially provides a view of the compilation of these languages as a generalization of the standard techniques used in conventional languages, allowing
The Constraint Programming Working Group
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Quantum-accelerated constraint programming [PDF]
Quantum, 2021 Constraint programming (CP) is a paradigm used to model and solve constraint satisfaction and combinatorial optimization problems. In CP, problems are modeled with constraints that describe acceptable solutions and solved with backtracking tree search ...
Kyle E. C. Booth +4 more
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Revue Ouverte d'Intelligence Artificielle, 2000 This article recounts the story of constraint programming, one of the most remarkable and enduring scientific contributions of Alain Colmerauer. It is a personal story, having lived through, and contributed to, the events that are reported here.
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Preventive maintenance scheduling with integer programming and constraint programming [PDF]
مدیریت صنعتی, 2014 Preventive maintenance scheduling is to perform a series of tasks that prevents or minimizes production breakdowns and improves the reliability. Mathematical models have been developed to solve the preventive maintenance scheduling problem.
Majid Esmaelian, Hajar Bakran
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Constraint Programming as an AI Option [PDF]
Journal of Systemics, Cybernetics and Informatics, 2021 We examine the history of Artificial Intelligence, from its audacious beginnings to the current day. We argue that constraint programming (a) is the rightful heir and modern-day descendent of that early work and (b) offers a more stable and reliable ...
Russ Abbott, Jung Soo Lim
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Organization of work with clients in the COVID-19 emergency conditions using constraint programming [PDF]
Tehnika, 2021 In real service and production systems, there is often a need to make decisions regarding allocation of limited number of types and amounts of different resources over time, within the given activities, with the optimization of the given goal function ...
Strak Miodrag T., Lečić Rajna M.
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Experimenting with Constraint Programming on GPU [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 The focus of my PhD thesis is on exploring parallel approaches to efficiently solve problems modeled by constraints and presenting a new proposal.
Fabio Tardivo
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A Hybrid Exact–Local Search Approach for One-Machine Scheduling with Time-Dependent Capacity
Algorithms, 2022 Machine scheduling is a hard combinatorial problem having many manifestations in real life. Due to the schedule followed, the possibility of installations of machines operating sub-optimally is high.
Christos Valouxis +4 more
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