The vast majority of stochastic optimization problems require the approximation of the underlying probability measure … asymptotic properties. We consider a class of infinite-dimensional stochastic optimization problems inspired by recent work on … PDE-constrained optimization as well as functional data analysis. For this class of problems, we provide both qualitative …

efficiently control these systems and to satisfy the different interests as good as possible, mathematical optimization models can … be used to support operational decisions. Common approaches for reservoir optimization apply linear optimization … volume in a reservoir or to account for the hydropower equation. When the non-linear equations form a non-convex optimization …

Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real … approached with simulation techniques. However, simulation is not an optimization tool. Hence, it must be combined with … optimization methods when our goal is to: (i) minimize operating costs while guaranteeing a given quality of service; or (ii …

modernization. As a result, the dairy industry needs to improve its operational efficiencies by implementing effective optimization … techniques. Conventional and emerging optimization techniques have already gained momentum in the dairy industry. This study …'s objective was to explore the optimization techniques developed for or implemented in the dairy supply chain (DSC) and to …

emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental …

application of the Shortest Route optimization algorithm, while the SWOT matrix was implemented to analyze the operational …

are applied in the process of optimization. Moreover, we define new elements of a risk control system based on volatility …