A Framework for Inherently Interpretable Optimization Models.
Marc GoerigkMichael HartischPublished in: CoRR (2022)
Keyphrases
- probabilistic model
- main contribution
- optimization scheme
- mathematical framework
- modeling framework
- data sets
- optimization algorithm
- optimization problems
- database
- statistical model
- statistical models
- optimization process
- database systems
- spatial constraints
- bayesian framework
- computational models
- autoregressive
- optimization methods
- theoretical framework
- response surface
- global optimization
- optimization method
- computational model
- parameter estimation
- lightweight
- software development
- graphical models
- social networks
- genetic algorithm
- real time