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chapter 16, Kluwer Academic Publishers
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E. Burke, E. Hart, G. Kendall, J. Newall, P. Ross and S. Schulenburg. Handbook of Metaheuristics, chapter 16, Hyperheuristics: An Emerging Direction in Modern Search Technology, pp. 457-474. Kluwer Academic Publishers, 2003.
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Handbook of Metaheuristics
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Burke, E.1
Hart, E.2
Kendall, G.3
Newall, J.4
Ross, P.5
Schulenburg, S.6
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2
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84957656553
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Applying ant algorithms and the no fit polygon to the nesting problem
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Proceedings of 12th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 6-10, 1999, Foo, N. (Ed)
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E. Burke and G. Kendall, Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem, Proceedings of 12th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 6-10, 1999, Lecture Notes in Artificial Intelligence vol. 1747, Foo, N. (Ed), pp. 453-464, 1999.
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Lecture Notes in Artificial Intelligence
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Burke, E.1
Kendall, G.2
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3
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1442283467
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A tabu-search hyperheuristic for timetabling and rostering
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E. Burke, G. Kendall and E. Soubeiga, A Tabu-Search Hyperheuristic for Timetabling and Rostering, Journal of Heuristics volume 9 issue 6, pp. 451-470, 2003.
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Journal of Heuristics
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Burke, E.1
Kendall, G.2
Soubeiga, E.3
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4
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84888603386
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Hybrid graph heuristics in a hyper-heuristic approach to exam timetabling
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eds. B.L. Golden, S. Raghavan & E.A. Wasil, Springer
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E. Burke, M. Dror, S. Petrovic and R. Qu, Hybrid Graph Heuristics in a Hyper-Heuristic Approach to Exam Timetabling, in The Next Wave in Computing, Optimization and Decision Technologies (eds. B.L. Golden, S. Raghavan & E.A. Wasil), pp. 79-92, Springer 2005.
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Burke, E.1
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5
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33646016646
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Multi-objective hyper-heuristic approaches for space allocation and timetabling
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to appear in: Ibaraki T., Nonobe K., Yagiura M. (eds.), Springer
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E. Burke, J.D. Landa Silva and E. Soubeiga, Multi-objective Hyper-heuristic Approaches for Space Allocation and Timetabling, to appear in: Ibaraki T., Nonobe K., Yagiura M. (eds.), Meta-heuristics: Progress as Real Problem Solvers, Springer, 2005.
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Meta-heuristics: Progress As Real Problem Solvers
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Burke, E.1
Landa Silva, J.D.2
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7
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27144432931
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Case based heuristic selection for timetabling problems
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E. Burke, S. Petrovic and R. Qu, Case Based Heuristic Selection for Timetabling Problems. Accepted for publication in the Journal of Scheduling, 2005.
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Journal of Scheduling
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Burke, E.1
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An ant algorithm for the graph colouring problem
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An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem
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P. Cowling, G. Kendall and L. Han, An investigation of a Hyperheuristic Genetic Algorithm Applied to a Trainer Scheduling Problem. Proceedings of the Congress on Evolutionary Computation 2002, CEC 2002, pp. 1185-1190, 2002.
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Cowling, P.1
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11
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84889585310
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A hyperheuristic approach to scheduling a sales summit
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Selected papers of Proceedings of the 3rd International Conference on the Practice And Theory of Automated Timetabling
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P. Cowling, G. Kendall and E. Soubeiga, A Hyperheuristic Approach to Scheduling a Sales Summit. Selected papers of Proceedings of the 3rd International Conference on the Practice And Theory of Automated Timetabling, Springer LNCS vol. 2079, pp. 176-190, 2001.
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Hyperheuristics: A tool for rapid prototyping in scheduling and optimisation
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Proceedings of the 2nd European Conference on Evolutionary computation for Combinatorial Optimisation. EvoCop 2002
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P. Cowling, G. Kendall and E. Soubeiga, Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation. Proceedings of the 2nd European Conference on Evolutionary computation for Combinatorial Optimisation. EvoCop 2002, Springer LNCS vol. 2279, pp. 1-10, 2002.
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Solving a shipper rationalisation problem with a simulated annealing hyperheuristic
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K. Dowsland, E. Soubeiga and E. Burke, Solving a shipper rationalisation problem with a simulated annealing hyperheuristic. Accepted for publication in the European Journal of Operational Research, 2005.
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European Journal of Operational Research
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An adaptive length chromosome hyperheuristic genetic algorithm for a trainer scheduling problem
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L. Han and G. Kendall, Guided Operators for a Hyper-Heuristic Genetic Algorithm. In proceedings of AI-2003: Advances in Artificial Intelligence. The 16th Australian Conference on Artificial Intelligence (AI'03) (eds Tams D Gedeon and Lance Chun Che Fung), Perth, Australia, pp. 807-820, 3-5 Dec 2003.
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