Publications associées à A genetic algorithm based design and experimental characterization of a highly thermostable metalloprotein

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

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

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

Wind farm layout and unconstrained hub height optimization using genetic algorithms applied to different power densities

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

LES and wind tunnel studies have shown significant benefit when allowing turbines (T) in a wind farm to adopt different heights. This work presents two new genetic algorithms (GA) that perform wind farm layout optimization (WFLO) involving continuous and t ...

2022

Exploration of static equilibrium representations; policies and genetic algorithms

Corentin Jean Dominique Fivet, Ioannis Mirtsopoulos

Design exploration consists in browsing the design space and through the incremental generation of diverse design candidates increases creativity and diversity. When integrated into the early stages of the structural design process, the task is expected to ...

CRC Press2022

A Rosetta-based protein design protocol converging to natural sequences

Bruno Emanuel Ferreira De Sousa Correia, Zander Harteveld, Stéphane Rosset, Giulia Sormani

Computational protein design has emerged as a powerful tool capable of identifying sequences compatible with pre-defined protein structures. The sequence design protocols, implemented in the Rosetta suite, have become widely used in the protein engineering ...

AMER INST PHYSICS2021

Shrinking Bouma's window: How to model crowding in dense displays

Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet

In crowding, perception of a target deteriorates in the presence of nearby flankers. Traditionally, it is thought that visual crowding obeys Bouma's law, i.e., all elements within a certain distance interfere with the target, and that adding more elements ...

PUBLIC LIBRARY SCIENCE2021

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Michael Mark

In this paper, we focus on the problem of minimizing a network of state facilities that provide essential public services (schools, offices, and hospitals). The goal is to reduce the size of the network in order to minimize the costs associated with it. Ho ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

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A genetic algorithm based design and experimental characterization of a highly thermostable metalloprotein

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

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

Wind farm layout and unconstrained hub height optimization using genetic algorithms applied to different power densities

Exploration of static equilibrium representations; policies and genetic algorithms

A Rosetta-based protein design protocol converging to natural sequences

Shrinking Bouma's window: How to model crowding in dense displays

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Identification of Mechanism Stiffness of Autoeliminating Clearance for Auxiliary Bearing

Reprogramming the B1 Domain of Streptococcal Protein G (GB1)

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Chattez avec Graph Search

Genetic Algorithms for the Discovery of Homogeneous Catalysts

Reprogramming the B1 Domain of Streptococcal Protein G (GB1)

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

A Rosetta-based protein design protocol converging to natural sequences

Wind farm layout and unconstrained hub height optimization using genetic algorithms applied to different power densities

Shrinking Bouma's window: How to model crowding in dense displays

Identification of Mechanism Stiffness of Autoeliminating Clearance for Auxiliary Bearing

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

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

Exploration of static equilibrium representations; policies and genetic algorithms