dc.contributor.author | Kalender, Murat | |
dc.contributor.author | Kheiri, Ahmed | |
dc.contributor.author | Özcan, Ender | |
dc.contributor.author | Burke, Edmund K. | |
dc.date.accessioned | 2014-09-15T12:56:52Z | |
dc.date.issued | 2012-10-22 | |
dc.description.abstract | The course timetabling problem is a well known constraint optimization problem which has been of interest to researchers as well as practitioners. Due to the NP-hard nature of the problem, the traditional exact approaches might fail to find a solution even for a given instance. Hyper-heuristics which search the space of heuristics for high quality solutions are alternative methods that have been increasingly used in solving such problems. In this study, a curriculum based course timetabling problem at Yeditepe University is described. An improvement oriented heuristic selection strategy combined with a simulated annealing move acceptance as a hyper-heuristic utilizing a set of low level constraint oriented neighbourhood heuristics is investigated for solving this problem. The proposed hyper-heuristic was initially developed to handle a variety of problems in a particular domain with different properties considering the nature of the low level heuristics. On the other hand, a goal of hyper-heuristic development is to build methods which are general. Hence, the proposed hyper-heuristic is applied to six other problem domains and its performance is compared to different state-of-the-art hyper-heuristics to test its level of generality. The empirical results show that the proposed method is sufficiently general and powerful. | en_GB |
dc.identifier.citation | 2012 12th UK Workshop on Computational Intelligence (UKCI), 5-7 September 2012, Edinburgh, UK | en_GB |
dc.identifier.doi | 10.1109/UKCI.2012.6335754 | |
dc.identifier.uri | http://hdl.handle.net/10871/15562 | |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_GB |
dc.subject | educational courses | en_GB |
dc.subject | educational institutions | en_GB |
dc.subject | gradient methods | en_GB |
dc.subject | greedy algorithms | en_GB |
dc.subject | search problems | en_GB |
dc.subject | simulated annealing | en_GB |
dc.subject | genetic algorithms | en_GB |
dc.subject | problem-solving | en_GB |
dc.title | A greedy gradient-simulated annealing hyper-heuristic for a curriculum-based course timetabling problem | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2014-09-15T12:56:52Z | |
dc.identifier.isbn | 9781467343916 | |
dc.description | Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_GB |
refterms.dateFOA | 2019-10-17T10:37:03Z | |