916 search results for “multi-objective optimization” in the Public website
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Bernhard SteubingFaculty of Science
b.r.p.steubing@cml.leidenuniv.nl | 071 5272727
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Vasilii BokovFaculty of Science
v.bokov@liacs.leidenuniv.nl | 071 5272727
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Jiawen QiFaculty of Science
j.qi@liacs.leidenuniv.nl | 071 5272727
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Kristian RietveldFaculty of Science
k.f.d.rietveld@liacs.leidenuniv.nl | 071 5277038
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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…
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Roy de Winter wins LIACS Research Award
On June 2nd Roy de Winter has won the G. Rosenberg Research Award from the Leiden Institute of Advanced Computer Science (LIACS). De Winter was presented with the award during the celebration of the LIACS' 25th anniversary. The new award is intended for promising PhD students at LIACS.
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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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How to choose the optimal location for wind turbines in the North Sea
In the next decades, thousands of wind turbines will be added to the North Sea. Environmental scientist Chen Li identified the most beneficial areas for their construction, focusing on material use, carbon footprint, and environmental impact. His paper was published in Environmental Science & Techno…
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Bartolomeus Häussling LöwgrenFaculty of Science
b.j.p.m.haussling.lowgren@cml.leidenuniv.nl | 071 5272727
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Thomas BäckFaculty of Science
t.h.w.baeck@liacs.leidenuniv.nl | 071 5277108
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Sparsity-Based Algorithms for Inverse Problems
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…
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Optimizing Solvers for Real-World Expensive Black-Box Optimization with Applications in Vehicle Design
PhD defence
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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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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.
- Urban agriculture and Food
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Skip ThijssenFaculty of Science
s.thijssen@liacs.leidenuniv.nl | 071 5272727
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Scheduled protocol programming
With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…
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Antiviral Pharmacology
The focus of the Antiviral Pharmacology group led by Anne-Grete Märtson is optimizing antiviral therapy for different viral infections by conducting clinical trials and using innovative computational and dynamic laboratory methodologies.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Dynamic Capacity Investment under Competition
What is the optimal investment policy according to which a firm adapts its capacity in a competitive market?
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Anna Latour wins second prize at KNVI Thesis Prize for Informatics
The KNVI (Koninklijke Nederlandse Vereniging van Informatieprofessionals) awarded Thesis Prizes for Informatics and Information Science
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New project on maintenance prediction for industries
With the use of big data, Leiden University is aiming to develop a system that sends automatic alerts when certain Industrial parts are starting to wear out. Researchers of the the Leiden Institute of Advanced Computer Science (LIACS) are developing a predictive maintenance platform together with, among…
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
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.
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Discovery of antibiotics and their targets in multidrug-resistant bacteria
Global healthcare is on the verge of an antibiotic availability crisis as bacteria have evolved resistance to nearly all known antibacterials. Identifying new antibiotics that operate via novel modes-of-action is therefore of high priority.
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Student projects
Are you looking for a research project?
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Drug discovery pipeline
The drug discovery pipeline is used to describe the stages in drug discovery. The earliest stage concerns with the identification of potential targets and molecules ('hits') that can modulate their function, while more advanced stages are about developing these hits into viable experimental drugs and…
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Student projects
Are you looking for a research project?
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Which algorithm solves which problem? Diederick Vermetten developed methods to find out
Algorithms solve problems. But which algorithm is best suited to which problem? During his doctoral research, Diederick Vermetten developed methods to figure this out. And that is important for the entire field.
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Quantitative Pharmacology
The Quantitative Pharmacology group headed by Coen van Hasselt focusses on the application of state-of-the-art quantitative pharmacometrics and systems pharmacology modeling combined with translational experimental models to develop personalized treatment strategies for antibiotics and to combat antimicrobial…
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Evolutionary molecular dynamics
This thesis introduces the concept of
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PhD Course Microscopy
This is a yearly event where we move in one week from the physics of light through the composition of the microscope, fluorescence microscopy and end up with some image analysis All the lectures are backed by practicals to really put your obtained knowledge into practice
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TAILOR - Trustworthy AI through the integration of learning
The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…
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Topic: Self-management in chronic diseases
Having a chronic somatic condition can result in a variety of impairments in patients’ daily lives, including not only physical complaints such as pain, itch, and fatigue, but also problems of negative mood and impairments in social relationships. Next to disease characteristics, individual difference…
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Second Chance Project
The Second Chance project aims to promote recovery and re-integration of entrepreneurs who have recently undergone bankruptcy.
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Pursuing new anti-cancer therapy as a team
Cancer is the leading cause of death in the Netherlands, and, with over 100 different types of cancer, it’s not a simple disease. Today, skin, breast, lung, prostate and colon cancer are the most diagnosed forms. Therefore, the discovery and development of new drugs has the ability to significantly…
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Molecular Pharmacology
In this research group, headed by Laura Heitman, novel receptor concepts in drug discovery are studied, aiming to increase the effectivity of medicines. Many drugs act via so-called G protein-coupled receptors (GPCRs) and therefore our research is mainly focused on understanding and improving drug-receptor…
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Kinetics for Drug Discovery: a Case for the Adenosine A3 receptor
Supervisor: Lizi Xia
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New imaging technology to assess early drug success
Human and animal cells are very complex: very different chemical processes are going on at the same time, but they are separated from each other because the cells are divided in compartments. These compartments may also have a profound effect on the potential efficacy of therapeutics, because the drug…
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
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.
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Perovskite-based Photoelectrochemical Investigations for Artificial Photosynthesis
Inspired by natural photosynthesis, perovskite-based photoelectrochemical (PEC) systems are being developed for artificial photosynthesis, aiming to enhance solar-to-hydrogen conversion for green energy.
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Understanding protein complex formation: The role of charge distribution in the encounter complex
Protein–protein complexes are formed via transient states called encounter complexes that greatly influence the formation of the stereospecific complex.
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Stress-induced protein dynamic and growth arrest in C. elegans during development
During post-embryonic development into adults, animals face an environment that fluctuates constantly. For example, in nutrient availability, temperature, and osmolarity (e.g., salt concentration).
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Building sustainable urban futures: integrated analysis of green and grey infrastructure in the Netherlands
This thesis addresses the challenge of sustainable urban development by analyzing the interplay between green and grey infrastructure to optimize resource use and ecosystem services.
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Environmental opportunities and challenges for IoT technologies in sustainable supply chain operations: from industries to products
IoT technology poses serval opportunities to supply chains. This thesis employs grey correlation and forecasting models, system dynamics, agent-based modeling, and ex-ante LCA to investigate and quantify the opportunities and risks of IoT-enabled sustainable supply chain operations from both industrial…
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Research
Currently, Navigation Lab Leiden works on three main themes: navigation ability, spatial abilities, novel techniques in neuropsychology.
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Emotion regulation in young children with autism
Children with autism spectrum disorder experience serious challenges in social functioning, which threatens their development in many areas of functioning.
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Molecular characterization of copper-dependent enzymes involved in Streptomyces morphology
Promotor: G.P. van Wezel, Co-promotor: D. Claessen
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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Individualized dosing of aminoglycosides and glycopeptide antibiotics in (morbidly) obese patients (AMIGO)
Timely, adequate and optimal treatment of infectious diseases is essential for the survival of patients with bacterial infections (Surviving Sepsis campaign).