A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering
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Le but du projet est d’optimiser un moteur synchrone par des algorithmes génétiques. L’objectif de ce projet est de : • Etudier les algorithmes génétiques et ses applications. • Mettre en équation un moteur synchrone selon les différentes variables (électr ...
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Adaptive Optics (AO) improves the efficiency of the optical devices in confocal imaging systems by reducing wavefront aberrations. Aberration is caused by imperfections within the system and reduces the optical signal to noise ratio of the resultant images ...
Three methods based on the three-dimensional shallow ice approximation of glacier flow are devised that infer a glacier's subglacial topography from the observation of its time-evolving surface and mass balance. The quasi-stationary inverse method relying ...
The objective of this research is to examine the efficiency of EUR/USD market through the application of a trading system. The system uses a genetic algorithm based on technical analysis indicators such as Exponential Moving Average (EMA), Moving Average C ...
This paper investigates the control of an ML component within the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) devoted to black-box optimization. The known CMA-ES weakness is its sample complexity, the number of evaluations of the objective fun ...
This paper presents a novel self-reconfigurable robotic system named ACMoD where each module can move itself individually. It can also attach to other modules to build various configurations and change this configuration adaptively on different terrains. I ...
This deliverable describes the OpenIoT self-management and optimization framework, in terms of algorithms and mechanisms that it comprises as well as in terms of their implementation over the OpenIoT platform and associated cloud infrastructure. As a first ...