Pages that link to "Item:Q1306368"
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The following pages link to Monte Carlo bounding techniques for determinig solution quality in stochastic programs (Q1306368):
Displaying 13 items.
- The Benders by batch algorithm: design and stabilization of an enhanced algorithm to solve multicut Benders reformulation of two-stage stochastic programs (Q6112748) (← links)
- Sample average approximation for risk-averse problems: a virtual power plant scheduling application (Q6114903) (← links)
- A hybrid genetic algorithm for scheduling jobs sharing multiple resources under uncertainty (Q6114962) (← links)
- Solving multistage stochastic linear programming via regularized linear decision rules: an application to hydrothermal dispatch planning (Q6167762) (← links)
- Improved feature selection with simulation optimization (Q6173794) (← links)
- Risk‐averse two‐stage stochastic programming for the inventory rebalancing of bike‐sharing systems (Q6187239) (← links)
- Solving the stochastic team orienteering problem: comparing simheuristics with the sample average approximation method (Q6495385) (← links)
- Distributions and bootstrap for data-based stochastic programming (Q6538818) (← links)
- Multi-period fourth-party logistics network design with the temporary outsourcing service under demand uncertainty (Q6551185) (← links)
- Multi-period time window assignment for attended home delivery (Q6586276) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- Residuals-based distributionally robust optimization with covariate information (Q6608038) (← links)
- Value of risk aversion in perishable products supply chain management (Q6624438) (← links)