Iterated local search using an add and delete hyper- heuristic for university course timetabling

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Iterated local search using an add and delete hyper- heuristic for university course timetabling

Hyper-heuristics are (meta-)heuristics that operate at a higher level to choose or generate a set of low-level (meta-)heuristics in an attempt of solve difficult optimization problems. Iterated local search (ILS) is a well-known approach for discrete optimization, combining perturbation and hill-cli...

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Bibliographic Details
Main Authors:	Soria-Alcaraz, Jorge A., Özcan, Ender, Swan, Jerry, Kendall, Graham, Carpio, Martin
Format:	Article
Published:	Elsevier 2016
Subjects:	Benchmarking; Heuristic methods; Iterative methods; Local search (optimization); Scheduling Add-delete list; Discrete optimization; Hyperheuristic; Iterated local search; Iterative framework; Optimization problems; Timetabling; University Course Timetabling Optimization
Online Access:	https://eprints.nottingham.ac.uk/32181/

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