This work is in the context of blackbox optimization where the functions defining the problem are expensive to evaluate and where no derivatives are availabl...

In this paper, we apply flexibility-based operational planning method to microgrid (MG) unit commitment (UC). The problem is formulated based on model predi...

A new linear model is presented herein to optimize strategic production scheduling of an open pit mine with multiple processing streams while accounting for...

Geostatistically simulated representations of mineral deposits are used for resource/reserve assessments, mine design and production planning, project evalua...

Industrial mining complexes can be optimized using simultaneous stochastic optimization (SSO), which manages the risks associated with meeting production tar...

This paper presents a new truck dispatching policy approach that is adaptive given different mining complex configurations in order to deliver supply materia...

The existing technologies that update geostatistically simulated models of mineral deposits cannot self-learn from incoming new information generated in oper...

This article presents a novel stochastic optimization model that simultaneously optimizes the short-term extraction sequence, shovel relocation, scheduling o...

An innovative strategic mine planning approach is applied to a multi-mine and multi-process gold mining complex that simultaneously considers feasible capita...

We consider the problem of scheduling maintenance for a collection of machines under partial observations when the state of each machine deteriorates stochas...

Energy generation has always been a major stake in our economy and is all the more so with the increase in energy demand all over the world. In that context,...

Generation expansion planning (GEP) is a classical problem that determines an optimal investment plan for existing and future electricity generation technolo...

Conditional estimation given specific covariate values (i.e., local conditional estimation or functional estimation) is ubiquitously useful with applications...

We study a distributionally robust version of the classical capacitated facility location problem with a distributional ambiguity set defined as a Wasserst...

In this paper, we consider the problem of equal risk pricing and hedging in which the fair price of an option is the price that exposes both sides of the con...

In this paper, we apply a flexibility based operational planning paradigm to microgrid (MG) energy dispatch. The classic energy dispatch problem with energ...

Restless bandits are a class of sequential resource allocation problems concerned with allocating one or more resources among several alternative processes...

Utility-based shortfall risk measure (SR) effectively captures decision maker’s risk attitude on tail losses by an increasing convex loss function. In this ...

Deep learning has redefined modern standards and performance in several areas such as computer vision and natural language processing. With increasing amou...

In time-to-event data analysis, the main object of interest is the time elapsed between the occurrence of two ordered events, say \(E_1, E_2\). Sampling fr...