A framework for inherently interpretable optimization models.
Marc GoerigkMichael HartischPublished in: Eur. J. Oper. Res. (2023)
Keyphrases
- probabilistic model
- theoretical framework
- modeling framework
- optimization problems
- social networks
- main contribution
- spatial constraints
- optimization scheme
- model construction
- global optimization
- response surface
- neural network
- mathematical framework
- dynamic bayesian networks
- model driven
- optimization algorithm
- lightweight
- multiscale
- bayesian networks
- database systems
- learning algorithm
- information retrieval
- data mining