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“Meet a GERAD researcher!” seminar

Investigating a new hyper-heuristic method for production scheduling under uncertainty

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Mar 7, 2017   03:30 PM — 04:30 PM

Amina Lamghari Professor, Département de management, Université du Québec à Trois-Rivières, Canada

A hyper-heuristic refers to a search method or a learning mechanism for selecting or generating heuristics to solve computational search problems. Operating at a level of abstraction above that of a metaheuristic, it can be seen as an algorithm that tries to find an appropriate solution method at a given decision point rather than a solution. In this talk, a new hyper-heuristic that combines elements from reinforcement learning and tabu search is presented. It is applied to solve a complex real-world scheduling problem, namely the stochastic open-pit mine production scheduling problem with metal uncertainty (SOPMPSP). The performance of the new hyper-heuristic is assessed by comparing it to several solution methods from the literature: problem-specific algorithms tailored for the SOPMPSP and general hyper-heuristics, which use only limited problem-specific information.


Coffee and biscuits will be offered at the beginning of the seminar.
Welcome to everyone!

Location

Room 4488
André-Aisenstadt Building
Université de Montréal Campus
2920, chemin de la Tour Montréal QC H3T 1J4 Canada

Research Axis

Research application