Searched for: subject%3A%22Genetic%255C+Algorithm%22
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Chuang, Jia Shian (author)
This research aims to develop a method to create a wind farm layout that is robust against the uncertainty source, the inter-year variation of Weibull parameters and wind direction sector probabilities. A wind farm layout optimisation problem under uncertainty corresponds to optimisation under uncertainty (OUU), which is computationally...
master thesis 2020
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Cao Chiew, Daniel (author)
The present research performed a design exploration of fast ferry catamarans with hard chined demihulls sailing in irregular head waves, to analyse the influence of the demihull shape (without appendages) on wet deck slamming, and identify the geometrical properties and their trends to reduce it. Wet deck slamming is a phenomenon known to cause...
master thesis 2020
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Teeling, Jelle (author)
During a previous research project, a parametric model for conceptual layout design has been developed. The model uses optimisation using genetic algorithms to approach the optimal breakwater layout for specific locations. <br/>The developed model serves as a successful proof-of-concept. In the model, several aspects of design have been...
master thesis 2020
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van der Weide, Tim (author)
The MRO market currently spans around 9.5% of the total operating cost of an airline. Of this, 70% is covered by heavy-maintenance. Reduction of these costs and improving efficiency could, therefore, be significant for an airline. A possible solution is the optimization of the long-term schedule of heavy-maintenance checks. Current approaches...
master thesis 2020
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Casella, S.G. (author)
The thesis proposes a methodology for a Surrogate Based Optimisation (SBO) study and its application in the Naval Architecture field using the open-source software DAKOTA. Surrogate Based Optimisation is a useful and powerful way of reducing time and costs in hull shape optimisation. It allows the employ of exploratory data analysis techniques...
master thesis 2020
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Wu, S. (author)
Seismic data acquisition is a trade-off between cost and data quality subject to operational constraints. Due to budget limitations, 3D seismic acquisition usually does not have a dense spatial sampling in all dimensions. This causes artefacts in the processed images, velocity models, or other physical properties. However, we rely on, for...
doctoral thesis 2020
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de Jong, Gijs (author)
The feeling of belongingness, to be a member of a group, is rooted in human evolutionary history. Cooperative behaviour within such groups has since been an important research topic. The evolution of cooperation in the iterated prisoner's dilemma (IPD) has been shown to be an effective tool of simulating and analysing this behaviour. However, it...
bachelor thesis 2020
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Pal, Somnath (author)
The total electrical energy consumption by all the operational data centers (located all over the world) is enormous (approx. 1% of the global electricity demand 20000TWh). This electrical energy is required 24x7 to operate and cool all the IT equipment present in the data center. The electrical energy required to cool all...
master thesis 2020
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Herremans, Bart (author)
In this thesis a design optimisation framework was developed, with the aim of reducing the cord usage in TANIQ’s Large Bore Hose product family. To decrease the finite element analysis time, an axisymmetric finite element model was developed using ABAQUS’s rebar method, where the directional cord properties are smeared in hoop direction. The two...
master thesis 2020
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Xiang, Shang (author)
Software applications inevitably crash, and it is time-consuming to recreate the crash conditions for debugging. Recently, researchers have developed frameworks relying on genetic algorithms, e.g. Botsing, for automated crash reproduction. However, the existing approaches process exceptions of different types as if they were the same. In this...
master thesis 2020
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Fan, J. (author), Li, Yutong (author), Fryc, Irena (author), Qian, C. (author), Fan, X. (author), Zhang, Kouchi (author)
The full-spectrum white light-emitting diode (LED) emits light with a broad wavelength range by mixing all lights from multiple LED chips and phosphors. Thus, it has great potentials to be used in healthy lighting, high resolution displays, plant lighting with higher color rendering index close to sunlight and higher color fidelity index. The...
journal article 2020
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Zhang, Qingzhou (author), Zheng, Feifei (author), Chen, Qiuwen (author), Kapelan, Z. (author), Diao, Kegong (author), Zhang, Kejia (author), Huang, Yuan (author)
Improving the resilience of water distribution systems (WDSs) to handle natural disasters (e.g., earthquakes) is a critical step toward sustainable urban water management. This requires the water utility to be able to respond quickly to such disaster events, and in an organized manner, to prioritize the use of available resources to restore...
journal article 2020
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van Gaalen, Robin (author)
The overall purpose of this study is to establish novel methods of vehicle localization and mapping using a 1D linear automotive radar array in conjuncture with pre-existing lidar maps, and to test if the generated radar map can be made to be 3 dimensional. The reason for creating a novel localization method was to try and alleviate some of the...
master thesis 2020
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Jaggi, Vanisha (author), Bouman, Nikki (author), Khattat, Mostafa (author), Stoel, Fianne (author), Kanis, Job (author)
OKademy is a start-up that wants to improve the healthcare in the Netherlands by improving the process by which graduated medical students are being matched to a hospital team. This is needed since there is a lack of surgery<br/>assistants, while graduate students need to wait on average six months to start their work in a hospital. To match...
bachelor thesis 2020
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Olieman, C. (author), Bouter, P.A. (author), Bosman, P.A.N. (author)
The recently introduced real-valued gene-pool optimal mixing evolutionary algorthm (RV-GOMEA) has been shown to be among the state of the art for solving gray-box optimization problems where partial evaluations can be leveraged. A core strength is its ability to effectively exploit the linkage structure of a problem, which often is unknown a...
journal article 2020
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Hesam Mahmoudi Nezhad, N. (author), Ghaffarian Niasar, M. (author), Hagen, C.W. (author), Kruit, P. (author)
In electron optics, the design of electron lens systems is still a challenge. To optimize such systems, the objective function which should be calculated, depends on the electric potential distribution in the space created by the lenses. To obtain the electric potential, the existing methods are generally based on some mathematical techniques...
conference paper 2020
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Mariot, L. (author), Picek, S. (author), Jakobovic, Domagoj (author), Leporati, Alberto (author)
We consider the problem of evolving a particular kind of shift-invariant transformation – namely, Reversible Cellular Automata (RCA) defined by conserved landscape rules – using GA and GP. To this end, we employ three different optimization strategies: a single-objective approach carried out with GA and GP where only the reversibility...
conference paper 2020
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Soltani, M. (author), Panichella, A. (author), van Deursen, A. (author)
Software systems fail. These failures are often reported to issue tracking systems, where they are prioritized and assigned to responsible developers to be investigated. When developers debug software, they need to reproduce the reported failure in order to verify whether their fix actually prevents the failure from happening again. Since...
journal article 2020
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Ewald, Vincentius (author), Groves, R.M. (author), Benedictus, R. (author)
The concept of structural health monitoring has been introduced to ensure structural integrity during the design lifetime of a structure. The main objectives of structural health monitoring are to detect, locate, quantify, and predict any damage that occurs during this lifetime of the structure so that effective and efficient maintenance and...
journal article 2020
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Lin, N.M. (author), Tian, X. (author), Rutten, M.M. (author), Abraham, E. (author), Maestre, José M. (author), van de Giesen, N.C. (author)
This paper presents an extended Model Predictive Control scheme called Multi-objective Model Predictive Control (MOMPC) for real-time operation of a multi-reservoir system. The MOMPC approach incorporates the non-dominated sorting genetic algorithm II (NSGA-II), multi-criteria decision making (MCDM) and the receding horizon principle to solve...
journal article 2020
Searched for: subject%3A%22Genetic%255C+Algorithm%22
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