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

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

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…

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

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen

How can mega sand nourishments, such as the Sand Motor, be designed and managed for optimal ecosystem services provision ?

The German professor of Information Systems and Statistics Heike Trautmann accepted the Pascal chair this month at LIACS, the computer science institute of Leiden University. Trautmann’s main research areas are evolutionary multiobjective optimisation and data science, in which LIACS is strong as we…

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

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)

The design process of new buildings is extremely complex due to strict requirements. Computer models are used to create the designs. Scientists from LIACS developed advanced algorithms that help their colleagues at Eindhoven University of Technology to optimise these models.

Lecture

Promotor: Prof.dr. T.H.W. Bäck

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.

Researchers at LED3 are working together with biopharmaceutical company Galapagos to develop software for use in early drug discovery (funded by NWO). This software is able to design molecules with several simultaneously optimized characteristics and will also take prediction reliability into consideration…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children.

Lecture

PhD Defence

The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

The recently promoted Hao Wang from the Leiden Institute of Advanced Computer Science teaches computer programmes how to solve real-world problems. His goal is to make the process of problem-solving more efficient. On 1 November, he obtained his doctorate with the predicate cum laude. ‘I hope to solve…

The information below concerns courses that our group teaches in Leiden. 

PhD Defence

PhD Defence

Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich

Life Sciences Artificial Intelligence Data Science

SBB research focuses on the complex operational, organisational dynamics of technology-intensive sectors.

PhD Defence

This study aims to answer two main research questions: (1) What are the main predictors of work ability in employees with migraine? (2) Can we optimise work ability in employees with migraine using a web-based intervention focused on these relevant predictors?

In the search for sustainable energy solutions, the idea of artificial photosynthesis has been proposed as an approach with which to use water and sunlight to produce hydrogen.

Lecture

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

Research in the POD-group addresses all features of random phenomena – modelling, structuring, analysis, control, optimisation – and covers both fundamental and applied aspects.

Science

Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.

The Department of Child Law collaborated on a study on missing children in the European Union for the European Commission. The outcomes of the study aim to help to improve the mechanisms involved when children are missing in EU Member States.

Governments in parliamentary democracies have limited time in office to fulfill their policy agendas. So, how do they optimise the timing of legislative bills to assure their passage and avoid lengthy parliamentary scrutiny? This question is especially puzzling under coalition governments, in which…

Partly thanks to Roy de Winter, ship design and engineering company C-Job Naval Architects now develops optimal ships in a short time. The master's student Computer Science from Leiden developed the CEGO algorithm, which eliminates the classic design cycle and makes people in the maritime optimization…

PhD Defence

PhD Defence

PhD Defence

In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.