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Vehicle routing problem
Theorie
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Theory
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Mathematical programming
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Mathematische Optimierung
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Heuristics
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Heuristik
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Ganzzahlige Optimierung
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Tourenplanung
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Algorithm
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Algorithmus
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Packing problem
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Packproblem
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Programming
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Branch-and-cut
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Greenhouse gas emissions
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Same-day delivery
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Scheduling problem
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Scheduling-Verfahren
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Split delivery
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Treibhausgas-Emissionen
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Two-dimensional loading constraints
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Variable neighborhood search
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Balanced partition
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Bauwirtschaft
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Branch-and-regret
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Canonical dissections
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Constraint Programming
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Constraint programming
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Construction industry
1
Container loading problem
1
Crew scheduling
1
Cutting and Packing
1
Decision tree
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Dynamic pickup and delivery
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Emergency department
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Entscheidungsbaum
1
Ernährungsindustrie
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Queiroz, Thiago Alves de
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Côté, Jean-François
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Ferreira, Kamyla Maria
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Gallesi, Francesco
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Iori, Manuel
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Toledo, Franklina Maria Bragion de
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Munari, Pedro
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CIRRELT
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Computers & operations research : and their applications to problems of world concern ; an international journal
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European journal of operational research : EJOR
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Transportation research / E : an international journal
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ECONIS (ZBW)
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Dynamic optimization algorithms for same-day delivery problems
Côté, Jean-François
;
Queiroz, Thiago Alves de
; …
-
2021
Persistent link: https://www.econbiz.de/10012545698
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2
An exact approach for the green vehicle routing problem with two-dimensional loading constraints and split delivery
Ferreira, Kamyla Maria
;
Queiroz, Thiago Alves de
; …
- In:
Computers & operations research : and their …
136
(
2021
),
pp. 1-27
Persistent link: https://www.econbiz.de/10012629565
Saved in:
3
A variable neighborhood search for the green vehicle routing problem with two-dimensional loading constraints and split delivery
Ferreira, Kamyla Maria
;
Queiroz, Thiago Alves de
; …
- In:
European journal of operational research : EJOR
316
(
2024
)
2
,
pp. 597-616
Persistent link: https://www.econbiz.de/10014575550
Saved in:
4
A branch-and-regret algorithm for the same-day delivery problem
Côté, Jean-François
;
Queiroz, Thiago Alves de
; …
- In:
Transportation research / E : an international journal
177
(
2023
),
pp. 1-18
Persistent link: https://www.econbiz.de/10014419322
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