E-LIB Suche - Ergebnisse für: Rizvanolli, Anisa

1

Comparing Two Optimization Approaches for Ship Weather Rout..:

, In: Operations research proceedings 2016 / Andreas Fink, Armin Fügenschuh, Martin Josef Geiger, Editors

Walther, Laura ; Shetty, Srikanth ; Rizvanolli, Anisa. , [2018]

Exemplar: BB WiWi: 11a bwl 081/882-2016

2

Efficient Ship Crew Scheduling Complying with Resting Hours..:

, In: Operations research proceedings 2016 / Andreas Fink, Armin Fügenschuh, Martin Josef Geiger, Editors

Rizvanolli, Anisa ; Heise, Carl Georg , [2018]

Exemplar: BB WiWi: 11a bwl 081/882-2016

3

Ein gemischt-ganzzahliges lineares Optimierungs- modell zur..:

, In: Entscheidungsunterstützung in Theorie und Praxis,

Rizvanolli, Anisa ; John, Ole - p. 87-107 , 2017

Link: https://doi.org/10.1007/..

4

Modeling and Optimization Algorithms in Ship Weather Routin:

Walther, Laura ; Rizvanolli, Anisa ; Wendebourg, Mareike.
International Journal of e-Navigation and Maritime Economy. 4 (2016) - p. 31-45 , 2016

Link: https://doi.org/10.1016/..

5

IDR: A new generation of Krylov subspace methods?:

Rendel, Olaf ; Rizvanolli, Anisa ; Zemke, Jens-Peter M.
Linear Algebra and its Applications. 439 (2013) 4 - p. 1040-1061 , 2013

Link: https://doi.org/10.1016/..

6

Phish & Ships and Other Delicacies from the Cuisine of Mari..:

Bauer, Jan ; Kutzner, Joris ; Sedlmeier, Philipp..
doi:10.5281/zenodo.8406034. , 2023

Link: https://zenodo.org/recor..

7

Workload forecasting of a logistic node using Bayesian neur..:

Nakilcioglu, Emin Cagatay ; Rizvanolli, Anisa ; Rendel, Olaf
Proceedings of the Hamburg International Conference of Logistics (HICL). , 2022

Link: http://hdl.handle.net/11..

8

Workload forecasting of a logistic node using Bayesian neur..:

Nakilcioğlu, Emin ; Rizvanolli, Anisa ; Rendel, Olaf
hdl:10419/267179. , 2022

Link: http://hdl.handle.net/10..

9

Fleet based schedule optimisation for product tanker consid..:

Rizvanolli, Anisa ; Haupt, Alexander ; Müller, Peter Marvin.
Proceedings of the Hamburg International Conference of Logistics (HICL). , 2019

Link: http://hdl.handle.net/11..

10

Fleet based schedule optimisation for product tanker consid..:

Rizvanolli, Anisa ; Haupt, Alexander ; Müller, Peter Marvin.
10419/209197. , 2019

Link: http://hdl.handle.net/10..

11

IDR: A new generation of Krylov subspace methods?:

Rendel, Olaf ; Rizvanolli, Anisa ; Zemke, Jens-Peter M
Preprints des Institutes für Mathematik. , 2012

Link: http://tubdok.tub.tuhh.d..

12

The Role of the European Maritime Simulator Network in Asse..:

Anisa Rizvanolli ; Hans-Christoph Burmeister ; Ole John
http://www.transnav.eu/files/The Role of the European Maritime Simulator Network in Assessing Dynamic Sea Traffic Management Principles,616.pdf. , 2015

Link: https://doi.org/10.12716..

13

Workload Forecasting of a Logistic Node Using Bayesian Neur..:

Nakilcioglu, Emin ; Rendel, Anisa Rizvanolli und Olaf
http://arxiv.org/abs/2211.04976. , 2022

Link: http://arxiv.org/abs/221..

14

The ship crew scheduling problem with rest hours constraint

Innovations for maritime logistics ; vol. 9

Rizvanolli, Anisa , [2022]

Exemplare: Zentrale:E02 a ver 436/507; TB Nautik Ja Riz 9 (2022)