Searching for authors named "Petros Koumoutsakos" – sorted by Relevance.
33 documents found, showing 1 through 10.
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On the Generation of Vorticity At a Free Surface
- …this paper we define free-surface flows to be idealized gas--liquid flows in which the dynamics of the gas phase is neglected by setting the gas density and viscosity to zero. While we are mostly concerned with free-surface flows in this paper we sometimes discuss the connection between these ideali…
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Algorithms for Shear Flow Control and Optimization
- …We present an outline of our research efforts in the area of flow control and optimization. We focus on identifying low order models that can be implemented in active control strategies using (i} our understanding of fundamental physical processes such as vorticity generation and (ii) machine learni…
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A Clustering Genetic Algorithm for Cylinder Drag Optimization
- …A real coded genetic algorithm is implemented for the optimization of actuator parameters for cylinder drag minimization. We consider two types of idealized...…
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Optimization Algorithms based on a Model of Bacterial Chemotaxis
- …An optimization technique based on a model of bacterial chemotaxis is presented. The original biological model (Berg and Brown, 1972) is for- mulated as a simple optimization algorithm and is evaluated on a number of test problems. Based on this evaluation, the basic model is extended to an im…
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Self-Organizing Maps for Pareto Optimization of Airfoils
- …This work introduces a new recombination and a new mutation operator for an accelerated evolutionary algorithm in the context of Pareto optimization. Both operators are based on a self-organizing map, which is actively learning from the evolution in order to adapt the mutation step size and improve …
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Self-Organizing Maps for Multi-Objective Optimization
- …This work introduces novel recombination and mutation operators for multi-objective evolutionary algorithms using self-organizing maps in the context of Pareto optimization.…
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Active Learning with Adaptive Grids
- …Given some optimization problem and a series of typically expensive trials of solution candidates taken from a search space, how can we eciently select the next candidate? We address this fundamental problem using adaptive grids inspired by Kohonen's self-organizing map. Initially the grid divid…
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When Do Heavy-Tail Distributions Help?
- …Abstract. We examine the evidence for the widespread belief that heavy tail distributions enhance the search for minima on multimodal objective functions. We analyze isotropic and anisotropic heavy-tail Cauchy distributions and investigate the probability to sample a better solution, depending on th…
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Self-Adaptation for Multi-objective Evolutionary Algorithms
- …Evolutionary Algorithms are a standard tool for multi-objective optimization that are able to approximate the Pareto front in a single optimization run. However, for some selection operators, the algorithm stagnates at a certain distance from the Pareto front without convergence for further iter…
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Evolving Strategies for Active Flow Control
- …About fourty years ago Rechenberg and Schwefel (Reehenberg, 1994) came up with the idea of evolution strategies for flow optimization. Since then advances in computer architectures and numerical algorithms have greatly deercard computational costs of reafistic flow simulations, and today Computation…
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