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A simulated annealing hyper-heuristic methodology for flexible decision support
Bai, Ruibin; Błażewicz, Jacek; Burke, Edmund K.; … - In: 4OR : a quarterly journal of operations research 10 (2012) 1, pp. 43-66
Persistent link: https://www.econbiz.de/10009528962
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Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods
Xu, Y.; Qu, R. - In: Journal of the Operational Research Society : OR 62 (2011) 2, pp. 313-325
Persistent link: https://www.econbiz.de/10008856987
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On-line decision support for take-off runway scheduling with uncertain taxi times at London Heathrow airport
Atkin, Jason A. D.; Burke, Edmund K.; Greenwood, John S.; … - In: Journal of scheduling 11 (2008) 5, pp. 323-346
Persistent link: https://www.econbiz.de/10003775236
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A simulated annealing enhancement of the best-fit heuristic for the orthogonal stock-cutting problem
Burke, Edmund K.; Kendall, Graham; Whitwell, Glenn - In: INFORMS journal on computing : JOC 21 (2009) 3, pp. 505-516
Persistent link: https://www.econbiz.de/10003883493
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Monte Carlo hyper-heuristics for examination timetabling
Burke, Edmund K.; Kendall, Graham; Misir, Mustafa; … - 2012
Persistent link: https://www.econbiz.de/10009581468