Searched for: subject%3A%22optimization%22
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van Putten, Noël (author)
In this paper, the Proximal Policy Optimization (PPO) algorithm is used to perform a constrained wing shape optimization. The PPO algorithm is a Machine Learning (ML) algorithm that improves itself by repeatedly performing the same optimization and learning from its results. The complete adaptation of the PPO framework to the design problem is...
master thesis 2024
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Agrawal, Tanuj (author)
Designing lightweight aircraft parts to improve fuel efficiency is crucial to meet the aviation sector’s goals of reducing CO2 emissions. However, it is also important to ensure that these lightweight parts have a lower CO2 footprint over their entire lifetime. Previous studies have successfully achieved this using topology optimization and low...
master thesis 2024
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Follis, Patrick (author)
Maximum Power Point Tracking (MPPT) is commonly used to optimize the power output of solar arrays for LEO satellites. Traditional MPPT techniques such as Perturb & Observe often struggle when the satellite is rotating and the temperature and incident irradiance are rapidly changing. This scenario frequently occurs with miniaturized...
master thesis 2024
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Bagirov, Aslan (author)
Structural design for unconventional aircraft can be quite challenging and could undergo<br/>many iterations until a solution is found for all load-cases such as static sizing, stability and<br/>crashworthiness. Ultimately, all of the design aspect are integrated in the earliest design<br/>changes for which Topology Optimization (TO) could...
master thesis 2024
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van Maldegem, Marijn (author)
The Dutch Ministry of Defence (NLMoD) has stated the goal of reducing dependency on fossil fuels by at least 20% by the year 2030 and at least 70% by the year 2050 compared to the year 2010. Research in the NLMoD explores the possibility of changing diesel-fuelled vehicles and weapon platforms to alternative forms of energy such as electric or...
master thesis 2024
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Lippes, Stijn (author)
With the ambition of policy makers to encourage a modal shift to rail, an increase in the demand for running trains can be expected. Capacity wise, this increase in demand could be facilitated by applying moving-block signalling. If railway traffic increases however, so does the difficulty of managing it. Rescheduling systems are currently being...
master thesis 2024
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Potijk, Emma (author)
Selecting the optimal stability framework for high-rise steel buildings is a critical decision that impact both economic efficiency and sustainability. This decision is not easy since there are many stability frameworks to choose from, such as tube, concrete shear-wall, and outrigger system. Designers and clients aspire to compare multiple...
master thesis 2024
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Kalender, Deniz (author)
Research on hangar parking is scarce and either neglects or oversimplifies towing considerations. In this paper, a novel approach is presented that integrates towing operations as a fundamental aspect of the hangar parking optimization, and uniquely focuses on minimizing towing operations. For the method, two A* adaptations, Dynamic State A* and...
master thesis 2024
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Hols, Jesse (author)
Performance-driven generative design has been commonly used in engineering applications. In addition to performance metrics, aesthetics play an important role in the acceptance of generatively designed forms. When generating these shapes using generative programs, it is not clear in advance what the outcome will be, and thereby what they will...
master thesis 2024
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Timmer, Sebastiaan (author)
<div>As Neuroscience progresses, there is an increasing amount of research that endorses predictions and reducing of prediction errors as one of the main functions of the brain. active inference is a brain-inspired, mathematical framework that successfully implements this idea both in simulations as well as in robotics. The predictive nature of...
master thesis 2024
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Matušovič, Marko (author)
Optimizing SQL query execution through effective cost models is a critical challenge in database management systems (DBMS). This thesis introduces a modular benchmarking system for cost models, with a pluggable architecture for both cost models and execution engines, enabling comprehensive benchmarking across various scenarios. Accompanied by a...
master thesis 2024
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Nair, Ruben (author)
Mixed-integer optimization problems, incorporating both discrete and continuous variables, present unique challenges across various domains such as computer science, finance, logistics, and healthcare. Evolutionary Algorithms (EAs) have emerged as powerful optimization techniques capable of tackling such complex problems in either the discrete...
master thesis 2024
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Anton, Mihai (author)
In large-scale ML, data size becomes a critical variable, especially in the context of large companies, where models already exist and are hard to change and fine-tune. Time to market and model quality are essential metrics, thus looking for ways to select, prune and augment the input data while treating the model as a black box can speed up the...
master thesis 2024
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Long, Youyuan (author)
In Inverse Optimization (IO), it is hypothesized that experts, when making decisions, implicitly engage in solving an optimization problem. If we can reconstruct this optimization problem using the decision data of the expert, then the behavior of the expert can be emulated. In this thesis, a novel inverse optimization model, Kernel Inverse...
master thesis 2024
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Micali, Gloria (author)
master thesis 2024
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Chin-A-Pauw, Laurens (author)
In this thesis, we aim to improve the application of deep reinforcement learning in portfo- lio optimization. Reinforcement learning has in recent years been applied to a wide range of problems, from games to control systems in the physical world and also to finance. While reinforcement learning has shown success in simulated environments (e.g....
master thesis 2024
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den Bakker, Yvonne (author)
E-mobility, in particular electric vehicles (EVs), play a crucial role in the energy transition. While businesses are increasingly adopting EVs, there is still a lot of opportunity to grow. One aspect of this growth is the way these vehicles are used by companies, especially when it comes to the logistics of EV charging. To encourage companies...
master thesis 2024
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Tunjov, Vassili (author)
Given the rapid growth in popularity of mega-constellations for telecommunication purposes, this thesis aims to identify methods for designing orbital layouts of such constellations. Traditional optimisation methods for regularly sized constellations do not scale due to the number of satellites involved. Therefore, this thesis investigates the...
master thesis 2024
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Raaphorst, Tomas (author)
In the field of urban development few challenges are as tough as the housing problem. The cause for this is the rapid expansion of urban populations combined with slow construction processes. The Open Design Systems (Odesys) methodology is a preference-based design methodology for creating and evaluating designs. For this it uses a-priori method...
master thesis 2024
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Ačas, Dom (author)
The presented research aims to design and optimize a timber observation tower, with a primary focus being the influence of topological and curvature parameters on its stability and lateral stiffness in resistance to non-uniform wind load profiles. <br/><br/>Having recognised the environmental benefits and urgency to find other alternatives,...
master thesis 2024
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