Day and Night Contrail Climate Impact of Optimised Trajectories

Contrail formation is one the largest warming contributions of aviation’s climate impact. Measures to mitigate contrail climate impact include the optimisation of flight trajectories to avoid the formation of warming contrails or to find air space where extra cooling contrails are formed. The latter option is only possible during daytime, due to...

Operationalising stability and fairness in transboundary water resource allocations

This research identifies a method to evaluate the fairness and stability of existing Pareto optimal policies in the context of transboundary water resource allocations. Using the case study of the Susquehanna river basin, the fairness of efficient policies was evaluated using utilitarianism, egalitarianism and prioritarianism. Stability was...

An Optimal Deployment Framework for Multi-Cloud Virtualized Radio Access Networks

Virtualized radio access networks (vRAN) are emerging as a key component of wireless cellular networks, and it is therefore imperative to optimize their architecture. vRANs are decentralized systems where the Base Station (BS) functions can be split between the edge Distributed Units (DUs) and Cloud computing Units (CUs); hence they have many...

Modelling and Analysis of the Single-Phase Operation of the Belgian PFC Rectifier

Boost-type power factor correction (PFC) rectifiers can be used in, for example, battery charging systems for Electric Vehicles (EVs). Conventionally available three-phase PFC rectifiers are limited to output 1/3 of the rated power when connected to a single-phase mains. This work presents the research into the single-phase operation of the...

A Non-cooperative Game-Theoretic Approach for Conflict Resolution in Multi-agent Planning

This paper presents FENOCOP, a game-theoretic approach for solving non-cooperative planning problems that involve a set of self-interested agents. Each agent wants to execute its own plan in a shared environment but the plans may be rendered infeasible by the appearance of potential conflicts; agents are willing to coordinate their plans in...

Choosing from skyline sets

The skyline operator has been proposed to bridge the gap between traditional and multimedia database systems by finding the optimal objects according to the notion of Pareto dominance. According to the notion of Pareto dominance an object dominates another if it is better in one attribute and equal in all others. Skyline sets end up being pretty...

Bottom-up approaches to achieve Pareto optimal agreements in group decision making

In this article, we introduce a new paradigm to achieve Pareto optimality in group decision-making processes: bottom-up approaches to Pareto optimality. It is based on the idea that, while resolving a conflict in a group, individuals may trust some members more than others; thus, they may be willing to cooperate and share more information...

Comparison of magnetic couplers for IPT-based EV charging using multi-objective optimization

Inductive power transfer (IPT) is becoming increasingly popular in stationary electric vehicle (EV) charging systems. In this paper, the influence of the different IPT coupler geometries on the performance factors such as efficiency, power density, misalignment tolerance, and stray field is studied. Four different coupler topologies, namely...

Airborne Wind Energy Airfoils: Design of Pareto-optimal airfoils for rigid wing systems in the field of Airborne Wind Energy

A new field of study has arisen within Wind Energy known as ‘Airborne Wind Energy’ (AWE). Although the concept of AWE has been around for a long time, there has been little development in this field until recently. This thesis adds to this development.<br/><br/>The focus lies on airfoil design in order to improve existing AWE systems and...

Public transport route planning with preferences

Using collected patient’s data to configure treatment plans for new patients in radiotherapy

Nowadays around 50% of all patients diagnosed with cancer are treated with radiotherapy. Radiotherapy uses ionizing beams to irradiate the tumour. This radiation damages and destroys cells, such that it is impossible for this cell to grow and divide. When the tumour is irradiated, the surrounding healthy tissues gets damaged as well. The goal is...

Multicriteria Optimization for Radiotherapy

Radiotherapy is one of the main treatments for cancer, and a multi-disciplinary field of research, mostly involving medicine, physics and mathematics. The focus of this thesis lies in improvements for the treatment planning, which is a multi-criteria process. We have been constructing a new method to form the Pareto front for certain objectives....

Noise minimization on houses around airports

This thesis was a combined project of the CWI (the national research institute for mathematics and computer science in the Netherlands) and the NLR (National Aerospace Laboratory of the Netherlands). In this thesis we examine noise pollution around airports. Given an airport we will consider the problem maximizing the number of flights, while...

Multi-objective optimization in the construction industry

Multi-objective-optimization-based positioning of houses in a residential neighborhood is described. The task is the placement of the buildings in a favorable configuration constrained by two objectives, which are garden performance and visual privacy performance requirements. The method used is evolutionary computation with the Pareto front...

Performance-based Pareto optimal design

A novel approach for performance-based design is presented, where Pareto optimality is pursued. Design requirements may contain linguistic information, which is difficult to bring into computation or make consistent their impartial estimations from case to case. Fuzzy logic and soft computing are the essential means to deal with this matter. In...