1 citations · 1 across the 2 of their papers we have counts for
7 papers
Surprise Maximization: A Dynamic Programming Approach
Ali Eshragh
Borwein et al. (2000) solved a surprise maximization problem by applying results from convex analysis and mathematical programming. Although, their proof is elegant, it requires ad…
Modeling the Dynamics of the COVID-19 Population in Australia: A Probabilistic Analysis
Ali Eshragh, Saed Alizamir, Peter Howley +1
The novel Corona Virus COVID-19 arrived on Australian shores around 25 January 2020. This paper presents a novel method of dynamically modeling and forecasting the COVID-19 pandemi…
Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions
Mahdi Abolghasemi, Ali Eshragh, Jason Hurley +1
Reliable demand forecasts are critical for the effective supply chain management. Several endogenous and exogenous variables can influence the dynamics of demand, and hence a singl…
An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach
Ali Eshragh, Rasul Esmaeilbeigi, Richard Middleton
We present an analytical upper bound on the number of required vehicles for vehicle routing problems with split deliveries and any number of capacitated depots. We show that a flee…
Learning to Project in Multi-Objective Binary Linear Programming
Alvaro Sierra-Altamiranda, Hadi Charkhgard, Iman Dayarian +2
In this paper, we investigate the possibility of improving the performance of multi-objective optimization solution approaches using machine learning techniques. Specifically, we f…
Hamiltonian cycles and subsets of discounted occupational measures
Ali Eshragh, Jerzy A. Filar, Thomas Kalinowski +1
We study a certain polytope arising from embedding the Hamiltonian cycle problem in a discounted Markov decision process. The Hamiltonian cycle problem can be reduced to finding pa…