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Computers & operations research : and their applications to problems of world concern ; an international journal
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An incomplete m-exchange algorithm for solving the large-scale multi-scenario knapsack problem
Song, Xiang
;
Lewis, Rhyd
;
Thompson, Jonathan
;
Wu, Yue
- In:
Computers & operations research : and their …
39
(
2012
)
9
,
pp. 1988-2000
Persistent link: https://www.econbiz.de/10009506538
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Creating seating plans : a practical application
Lewis, Rhyd
;
Carroll, Fiona
- In:
Journal of the Operational Research Society : OR
67
(
2016
)
11
,
pp. 1353-1362
Persistent link: https://www.econbiz.de/10011575815
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3
Exact and approximate methods for the score-constrained packing problem
Hawa, Asyl L.
;
Lewis, Rhyd
;
Thompson, Jonathan M.
- In:
European journal of operational research : EJOR
302
(
2022
)
3
,
pp. 847-859
Persistent link: https://www.econbiz.de/10013363791
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Reformulations and computational results for the uncapacitated single allocation hub covering problem
Ernst, Andreas T.
;
Jiang, Houyuan
;
Krishnamoorty, Mohan
; …
-
2011
Persistent link: https://www.econbiz.de/10009303890
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A revised formulation, library and heuristic for a chemical tanker scheduling problem
Ladage, Anurag
;
Baatar, Davaatseren
;
Krishnamoorthy, Mohan
- In:
Computers & operations research : and their …
133
(
2021
),
pp. 1-22
Persistent link: https://www.econbiz.de/10012591192
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Revisiting where are the hard knapsack problems? : via instance space analysis
Smith-Miles, Kate
;
Christiansen, Jeffrey
;
Muñoz, Mario …
- In:
Computers & operations research : and their …
128
(
2021
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012439903
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7
Instance space analysis for 2D bin packing mathematical models
Liu, Chang
;
Smith-Miles, Kate
;
Wauters, Tony
;
Costa, …
- In:
European journal of operational research : EJOR
315
(
2024
)
2
,
pp. 484-498
Persistent link: https://www.econbiz.de/10014565004
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8
Finding happiness : an analysis of the maximum happy vertices problem
Lewis, R.
;
Thiruvady, D.
;
Morgan, K.
- In:
Computers & operations research : and their …
103
(
2019
),
pp. 265-276
Persistent link: https://www.econbiz.de/10011991145
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