945 search results for “multi-objective optimization” in the Public website
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ZonMw – Optimizing the responsible researcher: towards fair and constructive academic advancement
Researchers are pulled in various, sometimes contradictory directions by the multiplication of performance metrics and new incentives to align with societal needs. Management structures, funding systems, and publication practices are increasingly influenced by pressures to promote only the highest quality…
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Efficient Constraint Multi-Objective Optimization with Applications in Ship Design
PhD defence
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Using AI to improve the Design-Make-Test cycle with Galapagos
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…
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Small changes for long term impact: optimization of structure kinetic properties: a case of CCR2 antagonists
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: Dr. L.H. Heitman
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3D Image to Characterize and Optimize antibody-mediated antitumor immunity
Bispecific antibodies with one Fab arm binding to effector cells, such as T-cells and NK-cells, while the other Fab arm recognizing a tumor associated antigen (TAA) can be used to redirect these effector cells for tumor specific killing. Using bispecific antibodies to treat hematological cancers is…
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Flagships
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.
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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COMMUNICATE HEAL-TH. A Virtual Reality training tool for optimizing expectancy effects in patient-provider interaction.
We aim to create an innovative e-learning and virtual reality training that helps healthcare providers to optimize placebo effects and minimizes nocebo effects via their communication.
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Research
PBDL favors multidisciplinary research. Depending on the problems under investigation, PBDL establishes collaborations between experts from for example molecular genetics, molecular and electro cell physiology, biochemistry, organic chemistry, analytical mathematics, mathematical statistics and computational…
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CCLS Past Events
On this page you can find information about previous CCLS events.
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Artificial Intelligence & Machine Learning
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…
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Leiden University hosts conference uniting 80 world-class scientists
A team of researchers from Leiden Institute of Advanced Computer Science (LIACS) recently hosted a big international conference (EMO 2023). At the conference, computer scientists discussed algorithms that are important in areas such as drug discovery, industrial production planning, and sustainable…
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Machine Learning
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…
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Chenyu Shi
Science
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Robert Istrate
Science
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Dirk van der Hoeven
Science
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The Many Faces Of Online Learning
In this dissertation several settings in the Online Learning framework are studied. The first chapter serves as an introduction to the relevant settings in Online Learning and in the subsequent chapters new results and insights are given for both full-information and bandit information settings.
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Over fifty scientists come together for MACODA
In the week of 16 – 21 September, an international group of more than 50 scientists met at the Many Criteria Optimization and Decision Analysis (MACODA) workshop. They discussed many-criteria optimization, which is the searching for optimal solutions when one has to consider a larger number of criteria.…
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Fundamental research on optimal quality tin coatings
Leiden Professor Marc Koper will be carrying out research on the chemical process underlying tin coating in order to optimise the quality of tin coatings. He has been awarded a subsidy of 285,000 euros from the STW Technology Foundation and Tata Steel.
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Advances in computational methods for Quantum Field Theory calculations
In this work we describe three methods to improve the performance of Quantum Field Theory calculations.
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Oscar Rueda
Science
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Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
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Better ship designs thanks to smart algorithms
The perfect ship is light and sleek for speed, but also needs to be strong and stable for safe sailing. These and other conflicting requirements make it difficult, even with a supercomputer, to find the ideal design. Computer scientist Roy de Winter has developed an algorithm that helps strike the perfect…
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Strategies for Mechanical Metamaterial Design
On a structural level, the properties featured by a majority of mechanical metamaterials can be ascribed to the finite number of soft internal degrees-of freedom allowing for low-energy deformations.
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Building with algorithms: looking for the optimal design
How can computers help design optimal buildings? PhD student Koen van der Blom makes algorithms that take into account all kinds of different architectural requirements, in order to reach the best compromise. And that is quite difficult: 'Algorithms do not automatically understand that a building that…
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Controlling growth and morphogenesis of the industrial enzyme producer Streptomyces lividans
Promotor: Prof.dr. G.P. van Wezel, Co-Promotor: E. Vijgenboom
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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Rule Reversal Revisited: Synchrony and diachrony of tone and prosodic structure in the Franconian dialect of Arzbach
This dissertation provides crucial but as yet missing empirical data on the tone accent opposition in the so-called
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Simulation of infant gut makes predictions about optimal milk
David Versluis successfully simulated an infant gut virtually. This is crucial for research on improvements in formula milk. Currently, such research primarily relies on diaper contents, which is not optimal. Versluis defended his doctoral thesis on April 23.
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Abstract Behavioral Specification: unifying modeling and programming
We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.
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New lecture series: Joint Lectures on Evolutionary Algorithms (JoLEA)
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.
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NWO grant for optimal design of complex and distributed cyber-physical systems
NWO awarded a grant for novel research on Complex and Distributed Cyber-Physical Systems (CPS). The grant will fund a four-year research project in which they hope to devise a method to explore and find optimal designs for CPS. Todor Stefanov, Associate Professor at the Leiden Institute of Advanced…
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Modelling phonologization: Vowel reduction and epenthesis in Lunigiana dialects
This dissertation provides a formal description of the relationship between diatopic/diachronic micro-variation and phonologization through analysis of the phonetic/phonological properties of unstressed vowel reduction and vowel insertion in two Northern Italian dialects.
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Ben van Werkhoven
Science
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CCLS Seminar
Lecture, Seminar
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Vasilii Bokov
Science
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Bernhard Steubing
Science
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Kristian Rietveld
Science
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Guilherme Perin
Science
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Jana Enking
Science
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Jiawen QI
Science
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Bartolomeus Häussling Löwgren
Science
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From data to discoveries: machine learning and optimization in space
Lecture
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Meta-heuristics for vehicle routing and inventory routing problems
Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich
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Niki van Stein
Science
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CEO Andrew de la Haije: ‘Optimally serving our clients is more important than growth or profit’
Andrew de la Haije is Director of the Dutch branch of Xebia Consultancy Services, an internationally operating consultancy agency that coaches companies through digital transformation. He followed the executive master’s programme in Cyber Security and graduated with distinction.
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Opening of Academic Year on sustainability: optimism and criticism go hand in hand
The theme of the Opening of the Academy Year on 4 September was sustainability and how the university could take the lead as a change agent. How is it going about this and what else can it do? There was also room for a critical note.
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Algorithm Data Science student designs best ship in less time
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…