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Real-time rescheduling of production systems using relational reinforcement learning
(QUALIS CAPES (UFSC), 2011-12)
Most scheduling methodologies developed until now have laid down good theoretical foundations, but there is still the need for real-time rescheduling methods that can work effectively in disruption management. In this ...
Task Rescheduling using Relational Reinforcement Learning
(IBERAMIA, 2012-12)
Generating and representing knowledge about heuristics for repair-based scheduling is a key issue in any rescheduling strategy to deal with unforeseen events and disturbances. Resorting to a feature-based propositional ...
End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
(Taylor & Francis Ltd, 2021-11-26)
With the advent of the socio-technical manufacturing paradigm, the way in which reschedulingdecisions are taken at the shop floor has radically changed in order to guarantee highly efficient production under increasingly ...
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning
(Elsevier Science Ltd, 2012)
Learning to repair plans and schedules using a relational (deictic) representation
(Brazilian Society of Chemical Engineering, 2010-09)
Unplanned and abnormal events may have a significant impact on the feasibility of plans and schedules which requires to repair them 'on-the-fly' to guarantee due date compliance of orders-in-progress and negotiating delivery ...
Tratamento Flexível e Eficiente da Migração de Objetos Java em Aplicações Bulk Synchronous Parallel
(Universidade do Vale do Rio dos Sinos, 2012-04-26)
Process migration is an useful mechanism for runtime load balancing, mainly in heterogeneous and dynamic environments. In particular, this technique is important for Bulk Synchronous Parallel (BSP) applications. This kind ...