100 zoekresultaten voor “multi-objective optimization” in de Publieke 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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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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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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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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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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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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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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A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
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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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Estimation and Optimization of the Performance of Polyhedral Process Networks
Promotor: Prof.dr.ir. E. Deprettere
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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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Pascallezing 2017: Multi-objective optimization meets data science
Lezing
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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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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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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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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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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
Promotie
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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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LCN2 Seminar: Multiobjective Analysis of Complex Networks
Lezing
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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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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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Jana EnkingWiskunde en Natuurwetenschappen
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LeGO 2018: 14th International Workshop on Global Optimization
Congres/symposium
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Flora SieblerWiskunde en Natuurwetenschappen
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Full Professor in Artificial Intelligence in Medicinal Chemistry
Wiskunde 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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Multi-Objective Mixed-Integer Evolutionary Algorithms for Building Spatial Design
Promotie
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Fast optimization methods for image registration in adaptive radiation therapy
Promotie
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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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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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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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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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Detection of Dynamic Communities in Social Networks through the use of Multi-Objective Genetic Algorithms
Lezing
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Algoritme Data Science-student ontwerpt beste schip in minder tijd
Mede dankzij Roy de Winter ontwikkelt scheepsontwerp- en ingenieursbureau C-Job Naval Architects in korte tijd optimale schepen. De masterstudent Computer Science in Leiden ontwikkelde namelijk het algoritme CEGO, dat de klassieke ontwerpcyclus doorbreekt en de mens in het maritiem optimalisatietraject…
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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