In this paper, we focus on the opportunistic maintenance of an asset which is composed of
multiple nonidentical life-limited components with both economic and structural …

Policy rollout is a method for the online computation of future costs in approximate dynamic
programming and has been utilized for various problems, including sensor management. In …

Long-term scheduling for cascaded hydro energy systems is very important for low carbon
energy production. It aims at determining the water release over a planning horizon to meet …

In this dissertation, we develop strategies to synchronize component procurement in
assemble-to-order (ATO) production and overhaul operations. We focus on the high-tech …

The localization of a radio frequency (RF) emitter is relevant in many military and civilian
applications. The recent decade has seen a rapid progress in the development of small and …

We consider an extension of the rollout algorithm that applies to constrained deterministic
dynamic programming, including challenging combinatorial optimization problems. The …

The US Navy is making a concerted effort to use total ownership cost (TOC) as a metric for
decision-making about the various systems needed to perform the Navy's missions. System …

Due to various advantages in storage and implementation, simple strategies are usually
preferred than complex strategies when the performances are close. Strategy optimization …

Control and optimization plays an important role in automation science and engineering for
buildings. The area is important due to the growing threat of global warming effects to the …

Many of simulation based learning algorithms have been developed to obtain near optimal
policies for Markov decision processes (MDPs) with large state space. However, most of …