Energy Markov Decision Processes (EMDPs) are finite-state Markov decision processes where each transition is assigned an integer counter update and a rational payoff. An EMDP configuration is a pair s(n), where s is a control state and n is the current counter value. The configurations are changed by performing transitions in the standard way. We consider the problem of computing a safe strateg...

This article tests the performance of the mean-variance approximations to non-expected utility functions. Previous studies justify mean-variance analysis only in the context of expected utility theory by demonstrating the excellent empirical performance of the mean-variance approximations to two of the commonly used utility functions in the study of expected utility: the power and exponential u...

Balancing loads in a multiprocessor or multicomputer system can have a signi cant impact on performance. In this paper, we model such a system as a heterogeneous multi-server queueing system. We study the behavior of such a system operating under the Minimum Expected Delay (MED) routing policy, i.e., an arriving customer is assigned to the queue which has the minimal expected value of un nished...

The paper discusses the location-allocation model for logistic networks and distribution centers through considering uncertain parameters. In real-world cases, demands and transshipment costs change over the period of the time. This may lead to large cost deviation in total cost. Scenario based robust optimization approaches are proposed where occurrence probability of each scenario is not know...