Publications

BACKGROUND: Discrete choice experiments (DCEs) are frequently used to study preferences and quantify tradeoffs in decision making. It is important to understand how stable their results are. OBJECTIVE: To investigate to what extent an extreme change in context, the COVID-19 pandemic, affected preferences for vaccine priority setting, as observed in an earlier DCE. METHODS: We replicated a DCE in which participants had to prioritize vaccination ...

BACKGROUND: It is known that during plant community assembly, the early colonizing species can affect the establishment, growth or reproductive success of later arriving species, often resulting in unpredictable assembly outcomes. These so called 'priority effects' have recently been hypothesized to work through niche-based processes, with early colonizing species either inhibiting the colonization of other species of the same niche through ...

In literature, priority-controlled and right-hand priority intersections have rarely been compared on other elements than the number of right-of-way violations and collisions. This study investigates the effect on speed and lateral position of five priority rules under two visibility conditions at an intersection (without hierarchy between branches), which is, at this moment, a knowledge gap. Fifty participants drove five different routes in a ...

In recent years, machine learning techniques, especially genetic programming (GP), have been a powerful approach for automated design of the priority rule-heuristics for the resource-constrained project scheduling problem (RCPSP). However, it requires intensive computing effort, carefully selected training data and appropriate assessment criteria. This research proposes a GP hyper-heuristic method with a duplicate removal technique to create new ...

In the past few years, the genetic programming approach (GP) has been successfully used by researchers to design priority rules for the resource-constrained project scheduling problem (RCPSP) thanks to its high generalization ability and superior performance. However, one of the main drawbacks of the GP is that the fitness evaluation in the training process often requires a very high computational effort. In order to reduce the runtime of the ...

In this paper, we consider the dual-class discrete-time GI/G/1 queue with slot-bound priority service order, meaning that class-1 customers have priority over class-2 customers that arrive during the same slot; customers that arrive during different slots however are served on a FCFS basis. We demonstrate that the introduction of the concept of groups allows us to analyse the system, and as a result, the joint probability generating function ...

The resource-constrained project scheduling problem (RCPSP) entails scheduling a series of non-preemptable, precedence-related activities, while also considering constraints on the resources needed for these activities' completion. Recognized as a widely studied NP-hard (Non-deterministic Polynomial-time Hard) optimization problem, the RCPSP has seen numerous solution methods proposed by researchers. Among these, priority rule-based heuristics ...