We investigate how crowdsourced delivery platforms with both contracted and ad hoc
couriers can effectively manage their workforce to meet delivery demands amidst …

In practical optimization problems, we typically model uncertainty as a random variable
though its true probability distribution is unobservable to the decision maker. Historical data …

The increased uncertainty due to the integration of stochastic renewable energy sources
necessitates solving Optimal Power Flow (OPF) problems repeatedly and with greater …

Problem definition: We address the portfolio optimization problem with contextual
information that is available to better quantify and predict the uncertain returns of assets …