685 search results for “multi-objective optimization” in the Public website
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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Multi-objective mixed-integer evolutionary algorithms for building spatial design
Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
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.
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Optimality
Optimality in plant properties and processing.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
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Parameter optimization toward optimal microneedle-based dermal vaccination
Microneedle-based vaccination has several advantages over vaccination by using conventional hypodermic needles.
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Optimal Teaching
The better teaching is for pupils and students, the more solid the basis will be that we give them for their future careers. This type of teaching requires strong instructors and insight into the best ways in which pupils can be supported, and research at Leiden University is making a contribution in…
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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Human skin equivalent barrier optimization
The currently available in vitro generated human skin equivalents resemble the human skin in many aspects. However, some essential barrier characteristics do not fully mimic the native barrier. Consequently, the human skin equivalents cannot be used for screening of drugs for skin penetration.
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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CECILIA2050 - Optimal EU climate policy
Development of scenarios for 2050 detailed in an IO framework
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Online Convex Optimization for the Effective Curvature (EFFECT)
Online Convex Optimization for the Effective Curvature
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History
Life Sciences Artificial Intelligence Data Science
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Pascal lecture 2017: Multi-objective optimization meets data science
Lecture
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CIMPLO – Maintenance prediction for industries
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.
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Systems pharmacology-based optimization of postoperative morphine treatment
Previous research has found important inter-individual differences in the pharmacokinetics (PK) of morphine in special populations such as children, the morbidly obese or the critically ill.
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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OPENup: Optimizing exposure therapy for Posttraumatic Stress disorder
Although exposure therapy is the gold-standard treatment of posttraumatic stress-disorder (PTSD), only half of the patients adequately benefit from it. Based on recent insights into the mechanisms of extinction, this project examines strategies and techniques to improve exposure treatment outcome in…
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SAPPAO - Optimizing the flight times of airplanes using data science
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'.
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Statistician Heike Trautmann is Pascal professor 2017
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…
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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis
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Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications
This thesis focuses on addressing four research problems in designing embedded streaming systems.
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LIACS and MI welcome 70 global optimization specialists
The 14th International Global Optimization Workshop (LeGO 2018) was hosted by Leiden University in September.
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Artificial intelligence and 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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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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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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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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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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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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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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LCN2 Seminar: Multiobjective Analysis of Complex Networks
Lecture
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
PhD Defence
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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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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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Koen van der Blom
Science
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Emiel Por
Science
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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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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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Hui Wang
Science
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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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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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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)