We study the time evolution of a vertically and horizontally differentiated oligopolistic industry, where firms compete in quantity and are divided into gr...

Multi-agent reinforcement learning has made significant progress in recent years, but it remains a hard problem. Hence, one often resorts to developing lea...

We are interested in blackbox optimization for which the user is aware of monotonic behaviour of some constraints defining the problem. That is, when incr...

We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, ...

This is a two-part work. In Part I, low-cost and representative reduced-fidelity models of two versions of the HYDROTEL hydrological model are constructed, u...

Dealing with computationally-intensive calibration processes is still common in distributed hydrological modelling despite the computing power growth. Comput...

The open-pit mine production scheduling problem aims to optimize the net present value of a mining asset. Several solution methods have been proposed to find...

Microgrid, a promising component of smart grid, will potentially yield a free electricity market. This paper proposes a novel construction for a community mi...

The paper combines two major contemporary systems and control methodologies to obtain a unique \(\epsilon\)-Nash equilibrium for optimal execution problem...

For the past few years, the mining industry has seen a lot of operational changes. Digitalization and automation of many processes have paved the way for an ...

Multiple-point simulations have been introduced over the past decade to overcome the limitations of second-order stochastic simulations in dealing with geolo...

A new non-stationary, high-order sequential simulation method is presented herein, aiming to accommodate complex curvilinear patterns and high-order spatia...

Over the last decade, geological uncertainty, its effects on long-term mine planning and methods for related risk management have been studied. However, th...

A mining complex can include multiple mines, stockpiles, waste dumps and processing facilities. Traditional optimization approaches are often based on sequ...

High-order sequential simulation methods have been developped as an alternative to existing frameworks to facilitate the modelling of spatial complexity of...

Mining complexes are value chains where extracted material from different mines is transformed into sellable products through a set of processing streams. ...

New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information abou...

We consider the problem of efficiently managing a fishery where pollution externalities are present. The open-access bionomic model is analyzed in an \(n\)...

A hyper-heuristic refers to a search method or a learning mechanism for selecting or generating heuristics to solve computational search problems. Operat...

A new solution approach is developed herein to address the topic of multi-product open-pit mine production scheduling with multi-element uncertainty. The m...