|
machine learning |
4 |
|
adaptation models |
2 |
|
adaptive large neighborhood search |
2 |
|
bayesian learning |
2 |
|
bayesian network |
2 |
|
city logistics |
2 |
|
column generation |
2 |
|
complex causal relationships |
2 |
|
consistent trips |
2 |
|
copd |
2 |
|
cost prediction |
2 |
|
costs |
2 |
|
data sparsity |
2 |
|
data-driven |
2 |
|
data-driven approach |
2 |
|
data-driven newsvendor |
2 |
|
fixed routes |
2 |
|
graphical representation |
2 |
|
group buying |
2 |
|
health informatics |
2 |
|
medical resource allocation |
2 |
|
metals |
2 |
|
multiple scenario approach |
2 |
|
multiple trips |
2 |
|
operations management |
2 |
|
operations research |
2 |
|
ordinary patients |
2 |
|
pandemic |
2 |
|
procurement |
2 |
|
production |
2 |
|
raw material procurement |
2 |
|
raw materials |
2 |
|
risk-averse newsvendor |
2 |
|
robust optimization |
2 |
|
sales forecast |
2 |
|
service network design |
2 |
|
smoothing |
2 |
|
social cost |
2 |
|
social promotion |
2 |
|
stochastic service network design |
2 |
|
temporal data |
2 |
|
uncertainties |
2 |
|
uncertainty |
2 |
|
value-at-risk constraint |
2 |
|
bandwidth allocation |
1 |
|
check-in |
1 |
|
cycle-based neighborhood |
1 |
|
gradient boost machine |
1 |
|
iterated metaheuristic |
1 |
|
lagrangian relaxation |
1 |
|
multicommodity |
1 |
|
multiple resource constraint |
1 |
|
network design |
1 |
|
network flow problem |
1 |
|
path selection |
1 |
|
relay |
1 |
|
relay location |
1 |
|
simulated annealing |
1 |
|
tabu search |
1 |
|
waiting time prediction |
1 |
