Publications associées à Crossover (genetic algorithm)

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

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

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

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

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

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Crossover (genetic algorithm)

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

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

Optimization of the environmental impact of beams

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

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

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Exploration of static equilibrium representations; policies and genetic algorithms

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

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

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

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

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

Optimization of the environmental impact of beams

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

Exploration of static equilibrium representations; policies and genetic algorithms

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