Heuristic Dynamic Programming (HDP) is the simplest kind of Adaptive Critic 1]. It can be used to maximize or minimize any utility function, such as total energy or trajectory error, of a system over time in a noisy environment. In this article, we propose a new version of HDP, called NHDP (Natural Heuristic Dynamic Programming). This new version incorporates basic HDP algorithm with the follow...

Institutional investors usually employ mean-variance analysis to determine optimal portfolio weights. Almost immediately upon implementation, however, the portfolio’s weights become sub-optimal as changes in asset prices cause the portfolio to drift away from the optimal targets. We apply a quadratic heuristic to address the optimal rebalancing problem, and we compare it to a dynamic programmin...

In this paper, we study a supply chain scheduling problem that simultaneously considers production scheduling and product delivery.  jobs have to be scheduled on a single machine and delivered to  customers for further processing in batches. The objective is to minimize the sum of the total weighted number of tardy jobs and the delivery costs. In this paper, we present a heuristic algorithm (HA...