95 zoekresultaten voor “optimization” in de Publieke website
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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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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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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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A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
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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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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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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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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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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: Prof.dr.ir. E. Deprettere
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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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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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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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Small changes for long term impact: optimization of structure kinetic properties: a case of CCR2 antagonists
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: 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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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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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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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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Oscar RuedaWiskunde en Natuurwetenschappen
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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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CIMPLO – Onderhoud voor industrieën voorspellen
Onderzoekers van het Leiden Institute of Advanced Computer Science (LIACS) ontwikkelen een systeem dat automatisch waarschuwingen uitstuurt wanneer onderdelen van motoren de eerste verschijnselen van vermoeidheid beginnen te vertonen. Het project duurt 4 jaar.
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Controlling growth and morphogenesis of the industrial enzyme producer Streptomyces lividans
Promotor: G.P. van Wezel, Co-Promotor: E. Vijgenboom
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Jana EnkingWiskunde en Natuurwetenschappen
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Flora SieblerWiskunde en Natuurwetenschappen
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Optimization of care in orthopaedics and neurosurgery
Promotie
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Optimization of UV Exposure Schedules for Tanning
Promotie
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Many Objective Optimization and Complex Network Analysis
Promotie
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Data Driven Modeling & Optimization of Industrial Processes
Promotie
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Statisticus Heike Trautmann is Pascalhoogleraar 2017
De Duitse hoogleraar Information Systems and Statistics Heike Trautmann aanvaardde deze maand de Pascalleerstoel bij LIACS, het informatica-instituut aan de Universiteit Leiden. Trautmanns belangrijkste vakgebieden zijn evolutionary multiobjective optimisation en data science, waar ook LIACS sterk in…
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LeGO 2018: 14th International Workshop on Global Optimization
Congres/symposium
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Morphogenesis and protein production in Aspergillus niger
Promotores: C.A.M.J.J. van den Hondel, V. Meyer, Co-promotor: A.F.J. Ram
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Pascallezing 2017: Multi-objective optimization meets data science
Lezing
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Illuminating N-acylethanolamine biosynthesis with new chemical tools
In this thesis, the discovery and optimization is described of chemical tools to study the N-acylethanolamine (NAE) biosynthetic pathway.
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Fast optimization methods for image registration in adaptive radiation therapy
Promotie
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weighted ensembles of surrogate models for sequential parameter optimization
Promotie
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Optimization and Application of 3D Reconstruction for Optical Projection Tomography
Promotie
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Promotie
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Biophysical characterization of membrane protein-small molecule interactions
Promotor: Prof.dr. M. Ubbink
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Photothermal studies of single molecules and gold nanoparticles: vapor nanobubbles and conjugated polymers
Promotor: M.A.G.J. Orrit
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Discovery of novel inhibitors to investigate diacylglycerol lipases and α/β hydrolase domain 16A
Promotor: H.S. Overkleeft, Co-promotor: M. van der Stelt
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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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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Ecological functions and environmental fate of exopolymers of Acidobacteria
Acidobacteria is a widely distributed phylum but their functional roles in ecosystem processes are still largely elusive.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems
Promotie
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Promotie
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Optimization of secondary prevention and risk stratification in patients with coronary heart disease
Promotie
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Optimization of suntinib treatment in metastatic renal cell carcinoma: pharmacogenetic evidence and challenges
Promotie
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
Promotie