The paper provides bounds on the cost of the solution achieved, and includes experimental results obtained with  real robots and in simulation in a variety of environments. Gini also has work on economic regimes models to characterize market  conditions in the form of recurrent statistical patterns. The models can be used to predict prices, price trends, and the probability of  receiving a customer order at a given price. The models are developed  using statistical analysis of historical data, and are used in  real-time to characterize observed market conditions and predict the  evolution of market conditions over multiple time scales. The work described in this paper received the INFORMS ISS award. Her notable awards include:   HER CURRENT PROJECTS:   "HER PAST PROJECTS:"