Searched for: subject%3A%22Particle%255C+Swarm%255C+Optimization%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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Luo, Runding (author), Sun, Botao (author), Hou, Xinlan (author), Shi, Wenhua (author), Zhang, Kouchi (author), Fan, Jiajie (author)
This work employed the particle swarm optimization (PSO) algorithm to assess the trade-off between breakdown voltage (BV) and on-state resistance (R <i style="box-sizing: border-box;">DS,on</i> ) in 4H–SiC metal oxide semiconductor field effect transistors (MOSFET) for power devices. In this work, the numerical model obtained after analyzing...
journal article 2024
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Ibañez Jimenez, Isabel (author)
This thesis aims to calculate optimal trajectories from a user-defined Earth-bounded orbit to a user-defined Moon-bounded orbit using a bi-impulse direct transfer ultimately under the influence of a full dynamical model with perturbations, hence reflecting the actual physical environment.<br/><br/>Two tools are developed to achieve this goal....
master 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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Martinez Lopez, V.A. (author), Ziar, H. (author), Zeman, M. (author), Isabella, O. (author)
The development of clean hydrogen and photovoltaic (PV) systems is lagging behind the goals set in the Net Zero Emissions scenario of the International Energy Agency. For this reason, efficient hydrogen production systems powered from renewable energy need to be deployed faster. This work presents an optimization procedure for a stand-alone,...
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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Kovacevic, Meho Sasa (author), Bačić, Mario (author), Librić, Lovorka (author), Gavin, Kenneth (author)
To identify the unknown values of the parameters of Burger’s constitutive law, commonly used for the evaluation of the creep behavior of the soft soils, this paper demonstrates a procedure relying on the data obtained from multiple sensors, where each sensor is used to its best advantage. The geophysical, geotechnical, and unmanned aerial...
journal article 2022
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Xing, Xuejun (author), Guo, Jianwei (author), Nan, L. (author), Gu, Qingyi (author), Zhang, Xiaopeng (author), Yan, Dong Ming (author)
The point pair feature (PPF) is widely used in industrial applications for estimating 6D poses of known objects from unrecognized point clouds. The key to the success of PPF matching is to establish correct 3D correspondences between the object and the scene, i.e., finding as many valid similar point pairs as possible. Thus, a set of...
journal article 2022
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Zhu, Songfeng (author), Li, Xueyuan (author), Qu, Xinyi (author), Liu, Qi (author), Li, Z. (author)
This paper proposes a linear quadratic controller based on particle swarm algorithm for the rear wheel control of four-wheel steering vehicle. Particle swarm optimization with fitness functions is used to optimize the coefficients of the weight matrix offline. The fuzzy rules following the controller is used if the road condition is terrible....
conference paper 2022
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Gu, Yi (author), Han, Chao (author), Chen, Yuhan (author), Liu, Shenggang (author), Wang, X. (author)
The last decades have witnessed a rapid increase of Earth observation satellites (EOSs), leading to the increasing complexity of EOSs scheduling. On account of the widespread applications of large region observation, this article aims to address the EOSs observation scheduling problem for large region targets. A rapid coverage calculation...
journal article 2022
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Jiang, Qian (author), Ren, Feng (author), Wang, Chenglei (author), Wang, Zhaokun (author), Kefayati, Gholamreza (author), Kenjeres, S. (author), Vafai, Kambiz (author), Liu, Yang (author), Tang, Hui (author)
We developed a dedicated computational framework by coupling the lattice-Boltzmann-method (LBM) modeling and the particle-swarm-optimization (PSO) algorithm to search optimal strategies of magnetic nanoparticle (MNP) injection for hyperthermia-based cancer treatment. Two simplified tumor models were considered: a circular model representing...
journal article 2022
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Aslan, Y. (author), Onat, N.B. (author)
The optimization of mode excitation coefficients in linear periodic arrays of multi-mode antenna elements is studied for grating lobe reduction. A novel beamforming architecture is proposed with a new optimization problem based on equi-amplitude element excitations for optimal power efficiency. The capabilities of the proposed synthesis approach...
conference paper 2022
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Gismondi, Roberta (author)
Decision-making dynamics and their impact of human behaviour have raised a large number of questions throughout the years. Traits like competition and collaboration amongst agents are often studied, in the context of Game Theory, by the medium of games such as the Iterative Prisoners’ Dilemma.Furthermore, many realistic scenarios and possible...
bachelor thesis 2021
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Kovačević, Meho Saša (author), Bačić, Mario (author), Gavin, Kenneth (author), Stipanovič, Irina (author)
The continuous monitoring of long-term performance of tunnels constructed in soft rock masses shows that the rock mass deformations continue after construction, albeit at a rate that reduces with time. This is in contrast with NATM postulates which assume deformation stabilizes shortly after tunnel construction. This paper proposes the...
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
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Yahyazadeh, M. (author), Johari, M. S. (author), Hassan HosseinNia, S. (author)
Particle swarm optimization has been a popular and common met heuristic algorithm from its genesis time. However, some problems such as premature convergence, weak exploration ability and great number of iterations have been accompanied with the nature of this algorithm. Therefore, in this paper we proposed a novel classification for...
journal article 2021
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Abhay, Nived (author)
The automotive industry plays a crucial role in battling the climate crisis and reducing emissions. Medium-duty and heavy-duty vehicles alone contribute to one-fourth of global emissions in the transport sector and there is a positive trend in the demand for these vehicles. Battery Electric Trucks have the potential to transform the growing...
master thesis 2020
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Atkins, Megan (author)
One of the goals outlined during the Paris Agreement in 2015 aimed at 'holding the increase in global average temperature to well below 2C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5C'. In conjunction with this, the Klimaatakkord of the Netherlands aims to 'reduce greenhouse gas emissions in the...
master thesis 2020
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Drubers, Dennis (author)
The control of a dedicated ITT system operating human driven MTSs and AGVs can be centralized, decentralized or distributed. The objective of this research is to find which controller structure is best suited for controlling a mixed traffic ITT system. In doing so, performance differences will be reviewed to gain insight into the effect of...
master thesis 2020
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Gamez Losada, Fernando (author)
The propellantless nature of solar-sail propulsion allows researchers to design completely new sets of orbits unreachable or not-maintainable by means of conventional propulsion. The advantage of this somewhat new type of low-thrust propulsion system becomes more evident for long-duration missions where chemical or electrical rocket engines...
master thesis 2019
Searched for: subject%3A%22Particle%255C+Swarm%255C+Optimization%22
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