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A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem

Drake, John H.; Özcan, Ender; Burke, Edmund

Authors

John H. Drake

Edmund Burke



Journal Article Type Article
Publication Date Jan 30, 2015
Journal Evolutionary Computation
Print ISSN 1063-6560
Electronic ISSN 1530-9304
Publisher Massachusetts Institute of Technology Press
Peer Reviewed Peer Reviewed
APA6 Citation Drake, J. H., Özcan, E., & Burke, E. (2015). A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem. Evolutionary Computation, doi:10.1162/EVCO_a_00145
DOI https://doi.org/10.1162/EVCO_a_00145
Keywords Combinatorial optimisation, Hyper-heuristics, Local Search, Multidimensional Knapsack Problem, Metaheuristic
Publisher URL http://www.mitpressjournals.org/doi/10.1162/EVCO_a_00145#.VuFCRfmLRpg
Related Public URLs http://www.mitpressjournals.org/loi/evco
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © Massachussets Institue of Technology. Drake, John H and Özcan, Ender and Burke, Edmund. A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem. Evolutionary computation, 2015.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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