Publications associées à Algorithme mémétique

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Karen Ann J Mulleners, Sébastien Le Fouest

This directory contains open-source data obtained using a single-bladed H-type vertical-axis wind turbine prototype with individual blade pitching. This data results from the optimisation of the blade's pitching kinematics using a genetic algorithm at two ...

Zenodo2024

Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models

Corentin Jean Dominique Fivet, Tao Sun

This paper presents a geometry-driven approach to form-finding with reused stock elements. Our proposed workflow uses a K-mean algorithm to cluster stock elements and incorporate their geometrical values early in the form-finding process. A feedback loop i ...

Springer2024

Genetic Algorithms for the Discovery of Homogeneous Catalysts

Rubén Laplaza Solanas, Anne-Clémence Corminboeuf, Puck Elisabeth van Gerwen, Alexandre Alain Schöpfer, Simone Gallarati

In this account, we discuss the use of genetic algorithms in the inverse design process of homogeneous catalysts for chemical transformations. We describe the main components of evolutionary experiments, specifically the nature of the fitness function to o ...

2023

Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

This work studies the power density (PD) optimization in wind farms, and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced, which optimizes PD and the turbine layout, by self-adapting to the PD and to the solutions ...

Oxford2023

Design and experimental investigation of a herringbone grooved gas bearing supported turbocharger

Jürg Alexander Schiffmann, Wanhui Liu

The design of an oil free turbocharger supported on herringbone grooved gas bearing was formulated as a multi-objective problem, which was solved by coupling a reduced order parametric model for gas bearing supported rotors with an evolutionary algorithm. ...

2023

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

François Maréchal, Julia Granacher

In Process Systems Engineering, computationally-demanding models are frequent and plentiful. Handling such complexity in an optimization framework in a fast and reliable way is essential, not only for generating meaningful solutions but also for providing ...

Oxford2023

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Romain Christophe Rémy Fleury, Janez Rus

We introduce a reconfigurable medium for the manipulation of elastic propagation properties of Lamb waves. It is based on a shape memory polymer (SMP) with temperature-dependent Young's modulus. Waves are excited by a laser pulse and detected by a laser vi ...

IOP Publishing Ltd2023

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Daniel Kuhn, Yves Rychener, Tobias Sutter

We develop a principled approach to end-to-end learning in stochastic optimization. First, we show that the standard end-to-end learning algorithm admits a Bayesian interpretation and trains a posterior Bayes action map. Building on the insights of this an ...

2023

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Algorithme mémétique

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models

Benchmarking informatics approaches for virus discovery: caution is needed when combining in silico identification methods

Genetic Algorithms for the Discovery of Homogeneous Catalysts

Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm

Design and experimental investigation of a herringbone grooved gas bearing supported turbocharger

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Optimization of the environmental impact of beams

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Graph Chatbot

Chattez avec Graph Search

Genetic Algorithms for the Discovery of Homogeneous Catalysts

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Geometry-Driven Stock-Constrained Truss Design via Equilibrium-Based Structural Models

Benchmarking informatics approaches for virus discovery: caution is needed when combining in silico identification methods

Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm

Design and experimental investigation of a herringbone grooved gas bearing supported turbocharger

Optimization of the environmental impact of beams

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability