Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
- N. Hansen, Sibylle D. Müller, P. Koumoutsakos
- Computer ScienceEvolutionary Computation
- 1 March 2003
A novel evolutionary optimization strategy based on the derandomized evolution strategy with covariance matrix adaptation (CMA-ES), intended to reduce the number of generations required for convergence to the optimum, which results in a highly parallel algorithm which scales favorably with large numbers of processors.
Feature point tracking and trajectory analysis for video imaging in cell biology.
- I. Sbalzarini, P. Koumoutsakos
- EngineeringJournal of Structural Biology
- 1 August 2005
Vortex methods - theory and practice
- G. Cottet, P. Koumoutsakos
- Mathematics
- 13 March 2000
The book Vortex Methods: Theory and Practice presents a comprehensive account of the numerical technique for solving fluid flow problems, and goes into some detail on the more recent developments that attempt to account for viscous effects.
High-resolution simulations of the flow around an impulsively started cylinder using vortex methods
- P. Koumoutsakos, A. Leonard
- Physics, EngineeringJournal of Fluid Mechanics
- 10 August 1995
The development of a two-dimensional viscous incompressible flow generated from a circular cylinder impulsively started into rectilinear motion is studied computationally. An adaptative numerical…
A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion
- N. Hansen, Andreas Niederberger, L. Guzzella, P. Koumoutsakos
- EngineeringIEEE Transactions on Evolutionary Computation
- 1 February 2009
It is demonstrated that their online optimization with the proposed methodology enhances, in an automated fashion, the online performance of the controllers, even under highly unsteady operating conditions, and it also compensates for uncertainties in the model-building and design process.
TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays.
- T. Gebäck, M. P. Schulz, P. Koumoutsakos, M. Detmar
- BiologyBioTechniques
- 1 April 2009
TScratch, a new, freely available image analysis technique and associated software tool that uses the fast discrete curvelet transform to automate the measurement of the area occupied by cells in the images, helps to significantly reduce the time needed for analysis and enables objective and reproducible quantification of assays.
Accelerating evolutionary algorithms with Gaussian process fitness function models
- Dirk Büche, N. Schraudolph, P. Koumoutsakos
- Computer ScienceIEEE Transactions on Systems Man and Cybernetics…
- 1 May 2005
The Gaussian process model is described and proposed using it as an inexpensive fitness function surrogate and clearly outperforms other evolutionary strategies on standard test functions as well as on a real-world problem: the optimization of stationary gas turbine compressor profiles.
Machine Learning for Fluid Mechanics
- S. Brunton, B. R. Noack, P. Koumoutsakos
- Computer ScienceAnnual Review of Fluid Mechanics
- 27 May 2019
Fundamental ML methodologies are outlined and their uses for understanding, modeling, optimizing, and controlling fluid flows are discussed and the strengths and limitations of these methods are addressed.
Simulations of optimized anguilliform swimming
- Stefan Kern, P. Koumoutsakos
- Physics, BiologyJournal of Experimental Biology
- 15 December 2006
The results of the present simulations support the hypothesis that anguilliform swimmers modify their kinematics according to different objectives and provide a quantitative analysis of the swimming motion and the forces experienced by the body.
A theoretical prediction of friction drag reduction in turbulent flow by superhydrophobic surfaces
- K. Fukagata, N. Kasagi, P. Koumoutsakos
- Engineering, Physics
- 17 May 2006
We present a theoretical prediction for the drag reduction rate achieved by superhydrophobic surfaces in a turbulent channel flow. The predicted drag reduction rate is in good agreement with results…
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