We propose in this dissertation several improvements to the constraint satisfaction and combinatorial optimization methods for solving these problems.
that are 'search', 'propagation' and 'learning' for efficiently solving sequencing and scheduling problems. Case study: car-sequencing. Mohamed Siala. PhD ...
A study of constraint programming heuristics for the car-sequencing problem · Models and Strategies for Variants of the Job Shop Scheduling Problem · Slack-Based ...
May 13, 2015 · This evaluation characterizes the key aspects of a good heuristic and shows that the search strategy is as important as the propagation aspect ...
Sequencing and scheduling involve the organization in time of operations subject to capacity and resource constraints. We propose in this dissertation ...
Search, propagation, and learning in sequencing and scheduling problems. Announcement for PhD Thesis; Published: 15 September 2015. Volume 20, pages 479–480 ...
Jun 24, 2015 · Sequencing and scheduling involve the organization in time of operations subject to capacity and resource constraints.
Some scheduling problems with deteriorating jobs and learning effects · Approximation schemes for constrained scheduling problems · Single machine scheduling ...
We propose in this dissertation several improvements to the constraint satisfaction and combinatorial optimization methods for solving these problems. These ...
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The purpose of this tutorial is to describe applications of constraint propagation techniques to the RCPSP and to machine scheduling problems. Accordingly, ...
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