Since the discovery of the ash tree (Fraxinus spp.) killer emerald ash borer (EAB; Agrilus
planipennis) in the United States in 2002 and Moscow, Russia in 2003, substantial detection …

Abstract Survival of North American species of ash (Oleaceae: Fraxinus spp. L.) is
threatened by emerald ash borer (EAB), Agrilus planipennis (Fairmaire), a phloem-feeding …

In this paper, we address the controversies of epidemic control planning by developing a
novel Simulation-Deep Reinforcement Learning (SiRL) model. COVID-19 reminded …

This paper presents strong scenario dominance cuts for effectively solving the multi-stage
stochastic mixed-integer programs (M-SMIPs), specifically focusing on the two most well …

We derive a nested risk measure for a maximization problem and implement it in a scenario-
based formulation of a multi-stage stochastic mixed-integer programming problem. We apply …

Introduction Decision support models that predict both when and where to expect emerald
ash borer (EAB), Agrilus planipennis Fairmaire (Coleoptera: Buprestidae), are needed for …

Existing compartmental-logistics models in epidemics control are limited in terms of
optimizing the allocation of vaccines and treatment resources under a risk-averse objective …

The invasive emerald ash borer (Agrilus planipennis) causes damage to street trees which
is estimated to reach US 900millionoverthenext30years.Althoughmillionsofdollarsarespentannuallyt …

When alien species make incursions into novel environments, early detection through
surveillance is critical to minimizing their impacts and preserving the possibility of timely …

In this paper, we address the difficulty of solving large-scale multi-dimensional knapsack
instances (MKP), presenting a novel deep reinforcement learning (DRL) framework. In this …