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Bosman, Rigo (author), Kruijff, Michiel (author)
conference paper 2022
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Bosman, G. (author), Van der Meer, J.W. (author), Hoffmans, G. (author), Schüttrumpf, H. (author), Verhagen, H.J. (author)
Recently, formulae have been derived for maximum flow depths and velocities on the crest and inner slope of dikes or levees at wave overtopping. Two independent physical model test programs in different wave flumes showed, however, a large difference in the results. The present paper clarifies this discrepancy and shows that the empirical...
conference paper 2008
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Scholten, D.J. (author), Bosman, R. (author)
Renewable energy sources are often hailed as the panacea for a plethora of challenges associated with the use of fossil fuels. Partly for good reasons; while the utilization of renewables diminishes energy scarcity and lowers various kinds of pollution, their potential to address energy related geopolitical tensions among producer, consumer, and...
conference paper 2013
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Fragoso Rodrigues, S.M. (author), Bauer, P. (author), Bosman, P.A.N. (author), Pierik, J. (author)
Offshore wind farms with high installed capacities and located further from the shore are starting to be built by northern European countries. Furthermore, it is expected that by 2020, several dozens of large offshore wind farms will be built in the Baltic, Irish and North seas. These wind farms will be constituted of a considerable number of...
conference paper 2014
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Sadowski, K.L. (author), Bosman, P.A.N. (author), Thierens, D. (author)
conference paper 2013
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Bosman, Rigo (author)
conference paper 2013
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Bosman, P.A.N. (author), Thierens, D. (author)
Exploiting a problem’s structure to arrive at the most efficient optimization algorithm is key in many optimization disciplines. In evolutionary computation, especially for solving discrete optimization problems from a black-box optimization (BBO) perspective, linkage learning is an important research line because if important linkages are...
conference paper 2013
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Brys, T. (author), Drugan, M.M. (author), Bosman, P.A.N. (author), De Cock, M. (author), Nowé, A. (author)
Satisfiability in propositional logic is well researched and many approaches to checking and solving exist. In infinite-valued or fuzzy logics, however, there have only recently been attempts at developing methods for solving satisfiability. In this paper, we analyse the function landscape of different problem classes, focussing our analysis on...
conference paper 2013
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Tuitman, J,T. (author), Sireta, F.X. (author), Malenica, S. (author), Bosman, T.N. (author)
conference paper 2009
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Speretta, S. (author), Cervone, A. (author), Menicucci, A. (author), Turan, E. (author), Bertels, E. (author), Bosman, B.N. (author), Topputo, Francesco (author)
The Lunar Meteoroid Impact Observer (LUMIO) is a mission designed to observe, quantify, and characterize the meteoroid impacts by detecting their flashes on the lunar far side. Earth-based lunar observations are restricted by weather, geometric and illumination conditions, while a lunar orbiter can improve the detection rate of lunar meteoroid...
conference paper 2021
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Virgolin, M. (author), Dijk van, Irma (author), Wiersma, Jan (author), Ronckers, Cecile (author), Witteveen, C. (author), Rasch, Coen (author), Bel, Arjan (author), Alderliesten, Tanja (author), Bosman, P.A.N. (author)
conference paper 2016
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Kleinrouweler, Jan Willem (author), Meixner, Britta (author), Bosman, Joost (author), Van Den Berg, Hans (author), Van Der Mei, Rob (author), Cesar, Pablo (author)
Frequent variations in throughput make mobile networks a challenging environment for video streaming. Current video players deal with those variations by matching video quality to network throughput. However, this adaptation strategy results in frequent changes of video resolution and bitrate, which negatively impacts the users' streaming...
conference paper 2018
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Dushatskiy, A. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
We propose a novel surrogate-assisted Evolutionary Algorithm for solving expensive combinatorial optimization problems. We integrate a surrogate model, which is used for fitness value estimation, into a state-of-the-art P3-like variant of the Gene-Pool Optimal Mixing Algorithm (GOMEA) and adapt the resulting algorithm for solving non-binary...
conference paper 2021
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Chebykin, Alexander (author), Dushatskiy, A. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
In this work, we show that simultaneously training and mixing neural networks is a promising way to conduct Neural Architecture Search (NAS). For hyperparameter optimization, reusing the partially trained weights allows for efficient search, as was previously demonstrated by the Population Based Training (PBT) algorithm. We propose PBT-NAS,...
conference paper 2023
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Guijt, Arthur (author), Thierens, Dirk (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
In a parallel EA one can strictly adhere to the generational clock, and wait for all evaluations in a generation to be done. However, this idle time limits the throughput of the algorithm and wastes computational resources. Alternatively, an EA can be made asynchronous parallel. However, EAs using classic recombination and selection operators...
conference paper 2023
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Harrison, Joe (author), Virgolin, Marco (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
The aim of Symbolic Regression (SR) is to discover interpretable expressions that accurately describe data. The accuracy of an expression depends on both its structure and coefficients. To keep the structure simple enough to be interpretable, effective coefficient optimisation becomes key. Gradient-based optimisation is clearly effective at...
conference paper 2023
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Arvanitis, P. (author), Betting, Jan Harm L.F. (author), Bosman, Laurens W.J. (author), Al-Ars, Z. (author), Strydis, C. (author)
Mice and rats can rapidly move their whiskers when exploring the environment. Accurate description of these movements is important for behavioral studies in neuroscience. Whisker tracking is, however, a notoriously difficult task due to the fast movements and frequent crossings and juxtapositionings among whiskers. We have recently developed...
conference paper 2022
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Scholman, R.J. (author), Bouter, Anton (author), Dickhoff, Leah R.M. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Even if a Multi-modal Multi-Objective Evolutionary Algorithm (MMOEA) is designed to find solutions well spread over all locally optimal approximation sets of a Multi-modal Multi-objective Optimization Problem (MMOP), there is a risk that the found set of solutions is not smoothly navigable because the solutions belong to various niches,...
conference paper 2022
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Harrison, J. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
Genetic Programming (GP) can make an important contribution to explainable artificial intelligence because it can create symbolic expressions as machine learning models. Nevertheless, to be explainable, the expressions must not become too large. This may, however, limit their potential to be accurate. The re-use of subexpressions has the...
conference paper 2022
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Ha, Damy M.F. (author), Deist, Timo M. (author), Bosman, P.A.N. (author)
Evolutionary algorithms (EAs) are well-known to be well suited for multi-objective (MO) optimization. However, especially in the case of real-valued variables, classic domination-based approaches are known to lose selection pressure when approaching the Pareto set. Indicator-based approaches, such as optimizing the uncrowded hypervolume (UHV)...
conference paper 2022
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