nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advanced optimization models for the location of charging stations in e-mobility
|
Staněk, Rostislav |
|
|
32 |
3 |
p. 737-761 |
artikel |
2 |
A fast staffing algorithm for multistage call centers with impatient customers and time-dependent overflow
|
Manitz, Michael |
|
|
32 |
3 |
p. 763-791 |
artikel |
3 |
Altruistic preferences in global emission games
|
Zapata, A. |
|
|
32 |
3 |
p. 843-864 |
artikel |
4 |
A novel auto-pruned ensemble clustering via SOCP
|
Üçüncü, Duygu |
|
|
32 |
3 |
p. 819-841 |
artikel |
5 |
An overview of weighted goal programming: a multi-objective transportation problem with some fresh viewpoints
|
Gütmen, Selma |
|
|
32 |
3 |
p. 557-568 |
artikel |
6 |
A rolling horizon planning approach for short-term demand supply matching
|
Herding, Raphael |
|
|
32 |
3 |
p. 865-896 |
artikel |
7 |
Does the energy-related greenhouse gas emission abatement cost depend on the optimization direction: shadow pricing based on the weak disposability technology in the European Union agriculture
|
Streimikis, Justas |
|
|
32 |
3 |
p. 593-619 |
artikel |
8 |
Multi-echelon inventory optimization using deep reinforcement learning
|
Geevers, Kevin |
|
|
32 |
3 |
p. 653-683 |
artikel |
9 |
Performance analysis of a production system with two deteriorating machines and a finite buffer
|
Guner, Hatice Ucar |
|
|
32 |
3 |
p. 621-651 |
artikel |
10 |
Publication and citation patterns of Austrian researchers in operations research and other sub-disciplines of business administration as indexed in Web of Science and Scopus
|
Schlögl, Christian |
|
|
32 |
3 |
p. 711-736 |
artikel |
11 |
Solving the minimum-cost double Roman domination problem
|
Klobučar Barišić, Ana |
|
|
32 |
3 |
p. 793-817 |
artikel |
12 |
Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study
|
Maheut, Julien |
|
|
32 |
3 |
p. 569-591 |
artikel |
13 |
The use of machine learning techniques for assessing the potential of organizational resilience
|
Ewertowski, Tomasz |
|
|
32 |
3 |
p. 685-710 |
artikel |