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Planen, lernen, optimieren : Beiträge zu Logistik und E-learning; Festschrift zum 60. Geburtstag von Hermann Gehring
Bortfeldt, Andreas (contributor); Gehring, Hermann (honouree) - 2003
Persistent link: https://www.econbiz.de/10013409260
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A parallel genetic algorithm for the multilevel unconstrained lot-sizing problem
Homberger, Jörg - In: INFORMS journal on computing : JOC 20 (2008) 1, pp. 124-132
Persistent link: https://www.econbiz.de/10003715957
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A reduction approach for solving the rectangle packing area minimization problem
Bortfeldt, Andreas - 2011
Persistent link: https://www.econbiz.de/10009428192
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A reduction approach for solving the rectangle packing area minimization problem
Bortfeldt, Andreas - In: European journal of operational research : EJOR 224 (2013) 3, pp. 486-496
Persistent link: https://www.econbiz.de/10009683770
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Eine Heuristik für multiple Containerladeprobleme
Bortfeldt, Andreas - 1998
Persistent link: https://www.econbiz.de/10013409115
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Ein verteilt-paralleles Tabu Search-Verfahren für Containerbeladeprobleme mit schwach heterogenem Kistenvorrat
Gehring, Hermann; Bortfeldt, Andreas - In: Operations research proceedings 1998 : selected papers …, (pp. 220-227). 1999
Persistent link: https://www.econbiz.de/10001437535
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Applying tabu search to container loading problems
Bortfeldt, Andreas - In: Selected papers of the Symposium on Operations Research …, (pp. 533-538). 1998
Persistent link: https://www.econbiz.de/10001323288
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Solving the pickup and delivery problem with 3D loading constraints and reloading ban
Männel, Dirk; Bortfeldt, Andreas - 2015
Persistent link: https://www.econbiz.de/10011398318
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The split delivery vehicle routing problem with three-dimensional loading constrains
Bortfeldt, Andreas; Yi, Junmin - 2018
The Split Delivery Vehicle Routing Problem with three-dimensional loading constraints (3L-SDVRP) combines vehicle routing and three-dimensional loading with additional packing constraints. In the 3L-SDVRP splitting deliveries of customers is basically possible, i.e. a customer can be visited in...
Persistent link: https://www.econbiz.de/10011952649