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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
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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
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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
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Breakout local search for the multi-objective gate allocation problem
Benlic, Una; Burke, Edmund K.; Woodward, John R. - In: Computers & operations research : and their … 78 (2017), pp. 80-93
Persistent link: https://www.econbiz.de/10011631002
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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
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Recent advances in selection hyper-heuristics
Drake, John H.; Kheiri, Ahmed; Özcan, Ender; Burke, … - In: European journal of operational research : EJOR 285 (2020) 2, pp. 405-428
Persistent link: https://www.econbiz.de/10012239589
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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