Non-linear great deluge with reinforcement learning for university course timetabling

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Non-linear great deluge with reinforcement learning for university course timetabling

This paper describes a non-linear great deluge hyper-heuristic incorporating a reinforcement learning mechanism for the selection of low-level heuristics and a non-linear great deluge acceptance criterion. The proposed hyper-heuristic deals with complete solutions, i.e. it is a solution improvement...

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Bibliographic Details
Main Authors:	Obit, Joe Henry, Landa-Silva, Dario, Sevaux, Marc, Ouelhadj, Djamila
Other Authors:	Caserta, Marco
Format:	Book Section
Published:	Springer 2011
Subjects:	Great deluge scheduling and timetabling course timetabling adaptive algorithms heuristics metaheuristics local search
Online Access:	https://eprints.nottingham.ac.uk/32607/

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