Bayesian optimization of pump operations in water distribution systems

• Published in: Journal of global optimization Vol. 71; no. 1; pp. 213 - 235
• Main Authors: Candelieri, A., Perego, R., Archetti, F.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2018; Springer; Springer Nature B.V
• Subjects: Accounting; Algorithms; Analysis; Bayesian analysis; Computer Science; Computer simulation; Cost control; Decision trees; Distribution management; Gaussian process; Global optimization; Kriging interpolation; Machine learning; Mathematics; Mathematics and Statistics; Networks; Operations Research/Decision Theory; Optimization; Probabilistic models; Pumps; Real Functions; Scheduling; Water distribution; Water engineering; Global optimization; Bayesian optimization; Simulation optimization; Pump scheduling optimization

Bayesian optimization has become a widely used tool in the optimization and machine learning communities. It is suitable to problems as simulation/optimization and/or with an objective function computationally expensive to evaluate. Bayesian optimization is based on a surrogate probabilistic model o...