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Effective learning hyper-heuristics for the course timetabling problem

Soria-Alcaraz, Jorge A.; Ochoa, Gabriela; Swan, Jerry; … - In: European Journal of Operational Research 238 (2014) 1, pp. 77-86

Course timetabling is an important and recurring administrative activity in most educational institutions. This article combines a general modeling methodology with effective learning hyper-heuristics to solve this problem. The proposed hyper-heuristics are based on an iterated local search...

Persistent link: https://www.econbiz.de/10010871281

A multi-agent based cooperative approach to scheduling and routing

Martin, Simon; Ouelhadj, Djamila; Beullens, Patrick; … - In: European journal of operational research : EJOR 254 (2016) 1, pp. 169-178

Persistent link: https://www.econbiz.de/10011503238

The late acceptance Hill-Climbing heuristic

Burke, Edmund K.; Bykov, Yuri - In: European journal of operational research : EJOR 258 (2017) 1, pp. 70-78

Persistent link: https://www.econbiz.de/10011641437

A methodology for determining an effective subset of heuristics in selection hyper-heuristics

Soria-Alcaraz, Jorge A.; Ochoa, Gabriela; … - In: European journal of operational research : EJOR 260 (2017) 3, pp. 972-983

Persistent link: https://www.econbiz.de/10011714272

Effective learning hyper-heuristics for the course timetabling problem

Soria-Alcaraz, Jorge A.; Ochoa, Gabriela; Carpio, Martin; … - In: European journal of operational research : EJOR 238 (2014) 1, pp. 77-86

Persistent link: https://www.econbiz.de/10010398842