When performing a Systematic Literature Review (SLR), the Abstract Screening Process (ASP) can be a very consuming and laborious task, especially when rese...

Designing efficient evacuation networks is crucial for disaster preparedness, as poorly planned and managed evacuations can increase the time required for ev...

As climate change intensifies, the shift to cleaner energy sources becomes increasingly urgent. With wind energy production set to accelerate, reliable win...

This paper introduces new model parameterizations for learning dynamical systems from data via the Koopman operator, and studies their properties. Whereas mo...

This article addresses the efficient coordination of multiple electrical drill rigs in open-pit mines, considering unique constraints such as continuous powe...

The modelling of linear quadratic Gaussian optimal control problems on large complex networks is intractable computationally. Graphon theory provides an appr...

Elastic Optical Networks (EONs) are challenged by spectrum fragmentation, which can obstruct the establishment of new connections. While the concept of fragm...

Major projects often deviate from their expected budget, schedule, and benefits. Existing techniques to improve the forecasted outcome, such as the Refer...

JSOSuite.jl is a new Julia package offering a user-friendly interface for continuous nonlinear optimization. The solvers available cover unconstrained to g...

Bistable mechanical systems exhibit two stable configurations where the elastic energy is locally minimized. To realize such systems, origami techniques ha...

The cubic knapsack problem (CKP) is a combinatorial optimization problem, which can be seen both as a generalization of the quadratic knapsack problem (QKP) ...

Over the past years, Robotic Process Automation (RPA) has emerged as a significant tool to enhance productivity across various industries by automating repet...

The increasing penetration of renewable electricity generation as well as the implementation of demand response programs has led to new challenges in the ope...

Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...

We consider mean field social optimization in nonlinear diffusion models. By dynamic programming with a representative agent employing cooperative optimize...

Governments are motivated to subsidize profit-driven firms that manufacture zero-emission vehicles to ensure they become price-competitive. This paper intr...

We extend traditional complexity analyses of trust-region methods for unconstrained, possibly nonconvex, optimization. Whereas most complexity analyses as...

We consider a provider of electric vehicle charging that operates a network of charging stations and uses time-varying pricing to maximize profit and reduce ...

The water pump scheduling problem is an optimisation model that determines which water pumps will be turned on or off at each time period over a given time h...

This work introduces a _partitioned optimization framework_ (POf) to ease the solving process for optimization problems for which fixing some variables to a...