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~person:"Baykasoğlu, Adil"
~subject:"Intermodal transport"
~subject:"Weighted superposition attraction algorithm"
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Intermodal transport
Weighted superposition attraction algorithm
Ganzzahlige Optimierung
3
Integer programming
3
Freight transport
2
Güterverkehr
2
Intermodaler Verkehr
2
Mathematical programming
2
Mathematische Optimierung
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0-1 Knapsack problem
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Algorithm
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Algorithmus
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Betriebliche Standortwahl
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Beziehungsmarketing
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Binary optimization
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Empty vehicle repositioning
1
Environmental issues
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Fahrzeugflotte
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Firm location choice
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Fleet allocation
1
Fleet composition
1
Freight planning
1
Intermodal freight transportation
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Intermodal transportation
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Load planning
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Mixed integer programming
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Mixed-integer programming
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Multi-criteria analysis
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Multi-objective optimization
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Multikriterielle Entscheidungsanalyse
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Relationship marketing
1
Set union knapsack problem
1
Theorie
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Theory
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Uncapacitated facility location problem
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Baykasoğlu, Adil
Subulan, Kemal
2
Arora, S. R.
1
Chen, Lichun
1
Di Francesco, Massimo
1
Dong, Jing-Xin
1
Dudaklı, Nurhan
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Sbihi, Najiba
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Operational research : an international journal
2
Transportation research / E : an international journal
1
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ECONIS (ZBW)
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An integrated fleet planning model with empty vehicle repositioning for an intermodal transportation system
Baykasoğlu, Adil
;
Dudaklı, Nurhan
;
Subulan, Kemal
; …
- In:
Operational research : an international journal
22
(
2022
)
3
,
pp. 2063-2098
Persistent link: https://www.econbiz.de/10013442194
Saved in:
2
Weighted superposition attraction algorithm for binary optimization problems
Baykasoğlu, Adil
;
Ozsoydan, Fehmi Burcin
;
Senol, M. Emre
- In:
Operational research : an international journal
20
(
2020
)
4
,
pp. 2555-2581
Persistent link: https://www.econbiz.de/10012306719
Saved in:
3
A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application
Baykasoğlu, Adil
;
Subulan, Kemal
- In:
Transportation research / E : an international journal
95
(
2016
),
pp. 207-247
Persistent link: https://www.econbiz.de/10011623792
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