1,010 search results for “evolutionary algorithms” in the Public website
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…
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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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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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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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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Algorithms for quantum software
Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…
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Algorithms
Many important topics in computer science, such as the correctness of software, the efficiency of algorithms and the modeling of complicated systems, depend on sound theoretical underpinnings. In the Theory group, we study these fundamental building blocks and develop verification methods to prove system…
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Evolutionary Biology (MSc)
The master’s specialisation Evolutionary Biology at Leiden University investigates biology at all levels. The specialisation includes genomics, functional developmental genetics, paleobiology, behavioral biology and evolutionary ecology.
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Thomas Bäck wint IEEE Award
Thomas Bäck wins the 2015 IEEE CIS Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.
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Koen van der Blom
Science
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Algorithms for finite rings
Promotores: H.W. Lenstra, K. Belabas (University of Bordeaux)
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Accountable Artificial Intelligence: Holding Algorithms to Account
Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…
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Efficient and Automatic Tomographic Reconstruction Algorithms
In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.
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Evolutionary diversification of Nepenthes (Nepenthaceae)
Promotor: Erik F. Smets, Co-promotores: Barbara Gravendeel, Niels Raes
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Algorithmic governance
Artificial intelligence could help make the work of public sector organisations, professionals, policy- and decision makers more effective, more efficient, and ideally could make it more rationalised and evidence-based.
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Evolutionary traps – Balanced lethal systems
How do balanced lethal systems originate and persist in nature?
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PhD student in Evolutionary Microbiology
Science, Institute of Biology Leiden (IBL)
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Cultural evolutionary modeling of patterns in language change. Exercises in evolutionary linguistics
This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.
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Algorithms and Software Technology
The Algorithms and Software Technology (AST) research programme performs fundamental research in the areas of algorithm design and analysis.
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Algorithmic tools for data-oriented law enforcement
Promotor: J.N. Kok, Co-promotor: W.A. Kosters
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
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Evolutionary Multi-Criterion Optimization (EMO) conference
Conference
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Invasive plant species, models for evolutionary change
Which traits did change due to the invasion process of plants and how do these traits contribute to the invasiveness of such species. What is the role of carbohydrate accumulation? What is the function of carbohydrate accumulation in plants? Is genetic variation depleted in invasive species under se…
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Evolutionary Developmental Biology of Bitterling Fish
We developed the bitterling as a unique, well-studied model organism in the area of the evolutionary ecology of brood parasitism. The bitterling-mussel relationship, interspecific mussel host preference, and mussel gill structure are studied in detail, to help understand the developmental adaptation…
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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On continued fraction algorithms
Promotor: Robert Tijdeman, Co-promotor: Cornelis Kraaikamp
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Modular curves, Arakelov theory, algorithmic applications
Promotor: S.J. Edixhoven, Co-promotor: R.S. de Jong
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Algorithm for Structural Variant Detection
Structural variants (SVs) are the hidden architecture of the human genome, and are critical for us to understand diseases, evolution, and so on.
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Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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Joint Lectures on Evolutionary Algorithms (JoLEA)
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- Gendering Algorithms for AI Governance
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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From Big Bang to algorithm
Smart algorithms and powerful processors are just as essential for astronomy as big telescopes. Astronomers at Leiden University therefore constantly operate at the interface between astronomy and data science.
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Joint Lectures on Evolutionary Algorithms (JoLEA) - Next Generation Genetic Algorithms
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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The serosa: an evolutionary novelty in insect eggs
What is the function of the insect serosa?
- Jordi Tura Group (Applied Quantum Algorithms)
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
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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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Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
PhD defence
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Online Master's Experience Day Computer Science
Study information
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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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Evolutionary diversification of coral-dwelling gall crabs (Cryptochiridae)
Promotor: Prof.dr. E Gittenberger, Co-Promotores: C.H.J.M. Fransen, Dr. B.W. Hoeksema