Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)

On September 15th a new series of lectures will start, the Joint Lectures on Evolutionary Algorithms (JoLEA). This series of events is aimed at disseminating the latest, top-quality research on EAs. The lectures will feature world-renowned speakers, local researchers, and PhD students.

This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.

Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…

Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…

The master’s specialisation Evolutionary Biology at Leiden University investigates biology at all levels. The specialisation includes genomics, functional developmental genetics, paleobiology, behavioral biology and evolutionary ecology.

Thomas Bäck wins the 2015 IEEE CIS Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.

Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)

Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…

In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.

Promotor: Erik F. Smets, Co-promotores: Barbara Gravendeel, Niels Raes

Artificial intelligence could help make the work of public sector organisations, professionals, policy- and decision makers more effective, more efficient, and ideally could make it more rationalised and evidence-based.

How do balanced lethal systems originate and persist in nature?

Science, Institute of Biology Leiden (IBL)

This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.

This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.

The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros

Conference

Which traits did change due to the invasion process of plants and how do these traits contribute to the invasiveness of such species. What is the role of carbohydrate accumulation? What is the function of carbohydrate accumulation in plants? Is genetic variation depleted in invasive species under se…

We developed the bitterling as a unique, well-studied model organism in the area of the evolutionary ecology of brood parasitism. The bitterling-mussel relationship, interspecific mussel host preference, and mussel gill structure are studied in detail, to help understand the developmental adaptation…

Lecture

Lecture

Lecture

Lecture

Promotor: Robert Tijdeman, Co-promotor: Cornelis Kraaikamp

Lecture

Promotor: S.J. Edixhoven, Co-promotor: R.S. de Jong

Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.

Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel

Lecture

Lecture

Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters

Smart algorithms and powerful processors are just as essential for astronomy as big telescopes. Astronomers at Leiden University therefore constantly operate at the interface between astronomy and data science.

Lecture

Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele

What is the function of the insect serosa?

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…

Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

PhD defence

Study information

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

Promotor: Prof.dr. E Gittenberger, Co-Promotores: C.H.J.M. Fransen, Dr. B.W. Hoeksema