Searched for: subject%3A%22Optimization%255C+Algorithm%22
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Ferretti, Luca (author)
This research project, conducted in collaboration between TU Delft and MN, a pension fund asset manager, focuses on the optimal venue selection in FX trading. The objective is to investigate how the venue selection affects trading performance and to improve MN trading execution algorithm, named ALGO. The research aims to propose a new approach...
master thesis 2023
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van Marrewijk, Jonas (author)
Segmentation of 3D medical images is useful for various medical tasks. However, fully automated segmentation lacks the accuracy required for medical purposes while manual segmentation is too time-consuming. Therefore, an active learning method can be used to generate an accurate segmentation using less user input. The active learning pipeline...
bachelor thesis 2023
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Knoop, Stijn (author)
This master thesis aimed to develop an optimized operating strategy for an electricity grid incorporating hydrogen storage, while considering three key performance indicators: financial costs, reliability, and sustainability. The central research question guiding this study was: "How can the electricity demand be reliably met by a system...
master thesis 2023
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Ruland, Oscar (author), Mkhoyan, T. (author), De Breuker, R. (author), Wang, Xuerui (author)
journal article 2023
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Hesam Mahmoudi Nezhad, N. (author), Ghaffarian Niasar, M. (author), Hagen, C.W. (author), Kruit, P. (author)
To design electron lens systems, applying a fully automated optimization routine has not yet been feasible, especially for the case where the optimization has many free variables of the lens system, such as all parameters that define the geometry of the lens electrodes and the voltage of each electrode. Hence, the study of the implementation of...
conference paper 2023
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Porta i Ko, Agustí (author)
Airborne wind energy (AWE) systems benefit from a high lift airfoil to increase the power output, to that end, multi-element airfoils are investigated for AWE applications. This thesis aims to optimize a multi-element airfoil for a rigid AWE kite that operates in a pumping cycle. Since the kite has distinct operational phases, i.e., reel-out and...
master thesis 2022
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Wang, T. (author)
The therapeutic properties of light have been known for thousands of years, but photodynamic therapy (PDT) was only developed in the last century. Currently, PDT is in clinical trials for the oncology-the treatment of head and neck, brain, lung, pancreas, abdominal cavity, breast, prostate, and skin cancer. Advantages of the light-based...
doctoral thesis 2022
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Leal Jauregui, Pedro (author)
In the context of the energy transition, the energy sector is experiencing a paradigm shift towards electrification in a decentralized model, where renewable energy sources are becoming the protagonists. However, such shift comes with several challenges. In particular for this thesis, the intermittency of renewable energy sources coupled with...
master thesis 2022
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van den Brom, P.I. (author), Smets, S.J. (author), Itard, L.C.M. (author)
Many researchers have indicated the energy performance gap (difference between actual and predicted energy used in buildings), not only on an individual building level, but also on a building stock level. For policy makers it is important that predictions are correct on an building stock level to make them a useful tool to predict the effect of...
conference paper 2022
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Bianchi, M. (author), Ananduta, W. (author), Grammatico, S. (author)
The distributed dual ascent is an established algorithm to solve strongly convex multi-agent optimization problems with separable cost functions, in the presence of coupling constraints. In this letter, we study its asynchronous counterpart. Specifically, we assume that each agent only relies on the outdated information received from some...
journal article 2022
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Wang, Le (author), Li, Shijie (author), Liu, Jialun (author), Wu, Qing (author), Negenborn, R.R. (author)
Autonomous docking and undocking control is an important part of intelligent ship motion control. In this study, the adaptive-mutation beetle swarm prediction (AMBS-P) algorithm is used to propose a control approach for autonomous docking and undocking. Firstly, this paper introduces the principle of the AMBS-P algorithm, then the convergence...
journal article 2022
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Ojo, Adebayo (author), Collu, Maurizio (author), Coraddu, A. (author)
The development of novel energy technologies to meet net zero carbon emission is essential in the provision of solutions to realize an increasing worldwide demand for renewable energy. Floating Offshore Wind Turbine (FOWT) is one of the emerging technologies to exploit the vast wind resources available in deep waters within the offshore wind...
review 2022
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Schoorl, Daan (author)
The past years there has been a significant increase in the popularity and commercial availability of consumer drones.
master thesis 2021
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Pasvanti, Nikoleta (author)
The demand for efficient lightweight structures grows rapidly in the aerospace sector. Topology optimization, introduced in the late 80s, is a method capable of producing such structures and has been mainly studied for isotropic materials. On the other hand, the performance of composite structures, which are already widely employed in the...
master thesis 2021
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van de Lest, Pim (author)
In this thesis, a simulated annealing algorithm is implemented to optimize the efficiency of a tandem solar cell. The efficiency of a tandem solar cell is approximated by the current of the tandem solar cell. This current is determined by the simulation program GenPro4. Firstly, the general concepts of simulated annealing is described. After...
bachelor thesis 2021
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Vroom, Nino (author)
The concept of motion planning for a path following task is highly relevant. Having a comfortable reference motion is an advantage for automated vehicles, since this leads to more higher comfort for the passengers, in turn leading to higher adoption of ADAS. Defining a speed profile can be done in three different ways. First is a heuristics...
master thesis 2021
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Westra, Koos (author)
Previous research has shown automated robotic mechanism design to be both deceptive (prone to local minima) and rife with linkage problems (having highly interdependent parameters). This results in a barrier to optimization that is unable to be breached by simply applying more iterations and computational power. The research also indicates that...
master thesis 2021
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Chatterjee, Sarthak (author), Das, Subhro (author), Gonçalves Melo Pequito, S.D. (author)
Solving optimization problems is a recurrent theme across different fields, including large-scale machine learning systems and deep learning. Often in practical applications, we encounter objective functions where the Hessian is ill-conditioned, which precludes us from using optimization algorithms utilizing second-order information. In this...
journal article 2021
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Rakhshani, E. (author), Naveh, Iman Mohammad Hosseini (author), Mehrjerdi, Hasan (author)
This paper presents a new application of advanced SMPI controller for a newly introduced interconnected dynamic system with VSP based HVDC links for frequency control problem. This work presents an outgrowth of analysis about the Swarm – Based Optimization Algorithms (SBOAs) in the tuning process of Multivariable Proportional – Integral (MPI)...
journal article 2021
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Naveh, Iman M. Hosseini (author), Rakhshani, E. (author), Mehrjerdi, Hasan (author), Elsaharty, Mohamed A. (author)
This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) controller, which is tuned by a novel performance index based on the step response characteristics in multi-input multi...
journal article 2021
Searched for: subject%3A%22Optimization%255C+Algorithm%22
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