François Soumis
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The primal simplex algorithm is still one of the most used algorithms by the operations research community. It moves from basis to adjacent one until optimal...
référence BibTeXDeep-learning-based partial pricing in a branch-and-price algorithm for personalized crew rostering
The personalized crew rostering problem (CRP) consists of assigning pairings (sequences of flights, deadheads, connections, and rests, forming one or several...
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The monthly crew pairing problem (CPP) consists of determining a least-cost set of feasible crew pairings (sequences of flights starting and ending at a crew...
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The crew pairing problem is generally modelled as a set partitioning problem where the flights have to be partitioned in pairings. A pairing is a sequence of...
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Overbooking is a common practice in the air cargo industry because booked and actual demands often differ greatly. As a consequence, in case of excessive ove...
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We present a case study of using machine learning classification algorithms to initialize a large scale commercial operations research solver (GENCOL) in the...
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In large commercial airlines, the monthly schedule (roster) of the crew members is usually determined by solving two problems sequentially, namely, the crew ...
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We consider a personalized employee scheduling problem with characteristics present in retail stores consisting of multiple departments. In the setting under...
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The airline crew scheduling problem involves determining schedules for airline crew members such that all the scheduled flights over a planning horizon (usua...
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The primal adjacency-based algorithm and the multi-directional dynamic programming algorithm are two exact methods that have recently been developed to effic...
référence BibTeXA two-stage solution approach for personalized multi-department multi-day shift scheduling
In this paper, we address a personalized multi-department multi-day shift scheduling problem with a multi-skill heterogeneous workforce where employees can b...
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The shortest path problem with resource constraints finds the least cost path between two nodes in a network while respecting constraints on resource consump...
référence BibTeXA primal adjacency-based algorithm for the shortest path problem with resource constraints
The shortest path problem with resource constraints (SPPRC) is often used as a subproblem within a column generation approach for routing and scheduling prob...
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The airline crew scheduling problem, because of its size and complexity, is usually solved in two phases: the crew pairing problem and the crew assignment pr...
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Synchronization of workers and vehicles plays a major role in many industries such as logistics, healthcare or airport ground handling. In this paper, we fo...
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La création d’horaires de personnel aériens est généralement effectuée en deux étapes : la création de rotations d’équipage, suivie par la création d’horaire...
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In this paper, we introduce a general framework for vector space decompositions that decompose the set partitioning problem into a reduced problem, defined...
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The integral simplex using decomposition (ISUD) algorithm <font size=2>[Zaghrouti, A., Soumis, F., Elhallaoui, I.: Integral simplex using decomposition for t...
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To solve integer linear programs, primal algorithms follow an augmenting sequence of integer solutions leading to an optimal solution. In this work, we focu...
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The tail assignment problem is a critical part of the airline planning process that assigns specific aircraft to sequences of flights, called lines-of-flight...
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