Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk

Thomas Bäck heeft de Institute of Electrical and Electronics Engineers (IEEE) CIS Evolutionary Computation Pioneer Award gewonnen voor zijn bijdrage aan 'evolutionary computation'.

Dit artikel onderzoekt de inspanningen van gezaghebbende Turkse maatschappelijke actoren om de stem van moslimvrouwen in Nederland te versterken.

The conference "Back to the Future: Thinking about Futures in Late Medieval and Early Modern Europe and Beyond" will take place on November 14 and November 15 2024 in Antwerp and online.

Op 26 november 2014 geeft Prof. Dr. Thomas Bäck de Cleveringa lecture aan de University of Calgary in Canada getiteld: Innovation: Can we use principles of evolution to guide it?

Dr. Ahmad Al-Jallad en Prof.dr. Peter Akkermans hebben de NWO Vrije Competitie subsidie toegekend gekregen voor hun onderzoeksproject 'Landscapes of Survival: Pastoralist Societies, Rock Art and Literacy in Jordan's Black Desert, c. 1000 BC to 500 AD. Samen onderzoeken ze antieke nederzettingen, grafmonumenten…

This thesis explores interfacial conductance and electric field-effects in LaAlO3/SrTiO3 heterostructures.

This thesis presents the results of a study on the interfaces of insulating oxides with and without the insertion of a magnetic layer.

In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.

This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.

Computer Science LIACS Over het instituut

In this thesis, several aspects of software debugging from automated crash reproduction to bug report analysis and use of contracts have been studied.

Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…

In this course, we will focus on the fascinating history of the Arabic Medieval World. We will take you on a journey through the Middle Ages. All along, we will present you with historiographical debates and dilemmas and travel back and forth in time explaining to you how events of the past affected…

Met Natural Computing worden natuurlijke algoritmes en verschijnselen onderzocht om bijvoorbeeld computersystemen te innoveren.

Het Algorithms and Software Technology (AST) onderzoeksprogramma voert onderzoek uit op het gebied van algoritme-ontwerp en analyse.

The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.

Terugblik over de laatste 40 jaar op de belangrijkste veranderingen in de zorg en onderzoek, waar transparantie, verantwoording en richtlijn centraal zijn komen te staan. Aan de hand van de ziekte van Huntington en het cerebrovasculaire accident worden belangrijke veranderingen in de zorg en het onderzoek…

De moderne samenleving is verbonden via elektronische en mobiele apparaten, die we het Internet of Things (IoT) noemen.

This thesis probes under what conditions quantum computing presents an advantage over classical computing.

Een neuraal netwerk imiteert de werking van onze hersenen. Evolutionaire algoritmes gebruiken het principe van natuurlijke selectie om een complex probleem op te lossen. Deze vormen van natural computing worden ingezet om de diagnose van de ziekte van Parkinson accurater te maken, maar ook om bijvoorbeeld…

Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

LIBC PUBLIEKSDAG 'ONZEKERE TIJDEN; EEN STRUIKEBLOK OF SPRINGPLANK?' (in Dutch)

De ontwikkeling en implementatie van een schaalbare, veilige en geïntegreerde infrastructuur van waterstof te bevorderen ter ondersteuning van de energietransitie.

CT scanning of skeletal remains can tell us about how strong or weak a persons bones were and we can relate that back to diet, activity, and reproductive factors.

This thesis concerns the relation bettween the good reduction of Shimura varieties and the associated loop groups.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

The subject of this thesis, ‘Approach to Markov Operators on Spaces of Measures by Means of Equicontinuity’, combines an analytical and probabilistic approach to Markov operators.

For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.

This research delves into a region of space known as the interstellar medium (ISM), which is essentially the area between the stars filled with gas and dust.

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

In this work, we attempt to answer the question:

This dissertation is an experimental study of laser-generated, atmospheric pressure, transient toroidal helium plasmas.

The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.

Onze AI-wetenschappers werken nauw samen met onder andere de TU Delft en de Erasmus Universiteit.

A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

Het onderzoek in het natural computing cluster omvat theoretische fundamenten, de ontwikkeling van nieuwe algoritmen en interdisciplinaire toepassingen van natuurlijke computermethoden. De drijvende kracht achter hun onderzoek is de missie om het begrip van natuurlijke systemen als rekenmodellen te…

Promotor: Prof.dr. T.H.W. Bäck

The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…

Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

International trade has played a major role in defining the modern global economy. Trade, however, entangles the environmental pressures of economic sectors, giving the illusion of environmental improvements, while the opposite may be occurring.