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Arnoldus, Matthijs (author)
Computational efficiency is essential for large-scale mathematical optimisation problems, such as the generation expansion planning problem, to be practically applicable. In linear programming solvers, crossover is frequently a bottleneck when solving optimisation problems. This study aims at determining why crossover is a bottleneck in solving...
master thesis 2024
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Duinkerken, Elwin (author)
When trains are not actively traveling on the main rail network, they to be parked and prepared for their next journey. This is a complex problem, involving several interconnected subproblems. Additionally, there is uncertainty in this environment which can render initial plans infeasible during their execution. To ensure trains are able to...
master thesis 2023
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Gardos Reid, Reuben (author)
Over 700 trains in the Netherlands are used daily for passenger transportation. Train operations involve tasks like parking, recombination, cleaning, and maintenance, which take place in shunting yards. The train unit shunting problem (TUSP) is a complex planning problem made more difficult by uncertainties such as delays. Most existing...
master thesis 2023
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Yeh, Jefferson (author)
Wind energy, generated by windfarms, is playing an increasingly critical role in meeting current and future energy demands. windfarms, however, face a challenge due to the inherent flaw of wake-induced power losses when turbines are located in close proximity. Wakes, characterized by regions of turbulence and lower wind speed, are created as air...
bachelor thesis 2023
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Filimon, Mihai (author)
The close proximity of wind turbines to one another in a wind farm can lead to inefficiency in terms of power production due to wake effects. One technique to mitigate the losses is to veer from their individual optimal direction. As such, the wakes can be steered away from downstream turbines in order to increase the overall power output. Multi...
bachelor thesis 2023
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Plămădeală, Ion (author)
The wake effect which is turbulence behind a wind turbine created when it extracts energy negatively impacts the power output of the downstream turbines. Active Wake Control can mitigate this effect, by rotating some turbines away from the wind. Previous research applied single agent reinforcement learning to apply Active Wake Control, show- ing...
bachelor thesis 2023
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van der Schaaf, Guus (author)
In wind farms wind turbines are often placed close to each other. Each turbine generates a turbulent wake field, this field negatively affects subsequent turbines. This can cost more than 12% efficiency. To decrease this loss we can steer the turbines away from the wind direction, this will decrease the individual turbine power output, but can...
bachelor thesis 2023
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van Steijn, Jeroen (author)
In this work, it is investigated whether the predict+optimize framework could be utilized for combinatorial optimization problems with a linear objective that have uncertainty in the constraint parameters, such that it outperforms prediction-error-based training. To this end, a predict+optimize formulation of the 0-1 knapsack problem is used,...
master thesis 2022
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van Dijk, Jeroen (author)
The Multi-Agent Path Finding (MAPF) problem is the problem of planning paths for multiple agents without any collisions. There are also many variants such as the waypoint variant, where each agent also has a set of waypoints it must visit before reaching its goal. The colored variant, in which the agents are grouped into teams and each team has...
master thesis 2022
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Nguyen, Charlie (author)
Over the past centuries, cybercrime has constantly grown. Among the most popular attacks against companies are phishing emails that especially gained popularity for threat actors to use as a tool during the COVID-19 pandemic. By changing the working environment, most communication channels between employees shifted from personal conversations...
master thesis 2022
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Nardi Dei Da Filicaia Dotti, Andrea (author)
In this paper we give a historical and theoretical background to minimal triangulation and its relation to minimal separators.<br/>We introduce a new type of minimal separators, the minimal meta separator, which its size is a lower bound for the treewidth problem, its fill-in is a lower bound for the minimum fill-in problem and can be used for...
master thesis 2022
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Stoel, Fianne (author)
District heating systems (DHSs) have the potential to play a big part in the energy transition. The efficient operation of DHSs is therefore also an important subject of study. The operation of DHSs where combined heat and power (CHP) plants are used are particularly interesting, because CHPs can operate with high efficiency.<br/><br/>In this...
master thesis 2022
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Hanou, Issa (author)
Shunting yards are the locations where trains, which are not included in the train schedule at a certain time, are parked until they are required again. Managing the parking of the trains such that all trains can leave at the desired time is a complicated task, and results in the problem formally known as the Train Unit Shunting Problem (TUSP)....
master thesis 2022
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van Eijmeren, Tiamo (author)
In this paper a heuristic algorithm is described that can constructively produce solutions to a variant of the Flexible Job Shop Problem (FJSP) that introduces changeover times between each pair of two operations consecutively performed on a machine. The performance of the heuristic algorithm is compared to the performance of an exact solver....
bachelor thesis 2022
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Ivanov, Marko (author)
The aim of this research paper is to present two genetic algorithms targeted at solving the Flexible Job Shop Problem (FJSP). The first one only tackles a single objective - the schedule makespan, while the second one takes into account multiple objectives for the problem. Each schedule is represented by two integer vectors - one for the machine...
bachelor thesis 2022
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Numan, Tim (author)
This papers examines an ant colony optimization approach for solving a specific variant of the Flexible Job Shop Problem faced by the Dutch chemistry company DSM. Jobs consisting of operations on a specific enzyme need to be scheduled as efficiently as possible on groups of available machines. The most interesting requirement upon the general...
bachelor thesis 2022
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Bak, Marco (author)
In this paper, a Simulated Annealing (SA) implementation for a Flexible Job Shop Problem (FJSP), with change-over time, is presented. <br/> This implementation is compared to a Mixed Integer Linear Programming (MILP) optimization, to compare performances. <br/> The SA algorithm starts with creating the first schedule with Global Selection. <br/>...
bachelor thesis 2022
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Jansen, Robin (author)
The scheduling departments of batch manufacturing plants have to repeatedly solve a complex scheduling problem for the operation of their production lines. This problem can be modeled as a flexible job shop problem (FJSP) in which a set of operations has to be assigned to a set of machines and then the order of operations on each machine has to...
bachelor thesis 2022
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Bos, Thomas (author)
Explainable artificial intelligence has in recent years allowed us to investigate how many machine learning methods are creating its predictions. This is especially useful in scenarios where the goal is not to predict a variable, but to explain what influences that variable. However, the methods that have been created thus far do not focus on...
master thesis 2022
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Chong, Kevin (author)
Supply planning is an NP-Hard problem that is often tackled when dealing with supply chain management. It is a problem with many variations but the core idea is to create a plan that resolves as much demand as possible.<br/>There are different approaches in use to solve a planning problem, one of which is by using heuristics. Heuristics are used...
master thesis 2022
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