Publications associées à Algorithme évolutionniste

A ride time-oriented scheduling algorithm for dial-a-ride problems

Nikolaos Geroliminis, Claudia Bongiovanni, Mor Kaspi

This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...

Pergamon-Elsevier Science Ltd2024

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

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Rachid Guerraoui, Andrei Kucharavy, Matteo Monti

Modern machine learning (ML) models are capable of impressive performances. However, their prowess is not due only to the improvements in their architecture and training algorithms but also to a drastic increase in computational power used to train them.|S ...

New York2023

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

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Daniel Kuhn, Mengmeng Li, Tobias Sutter

We propose a policy gradient algorithm for robust infinite-horizon Markov Decision Processes (MDPs) with non-rectangular uncertainty sets, thereby addressing an open challenge in the robust MDP literature. Indeed, uncertainty sets that display statistical ...

2023

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Pascal Frossard, Roberto Gerson De Albuquerque Azevedo, Chaofan He

Omnidirectional video streaming is usually implemented based on the representations of tiles, where the tiles are obtained by splitting the video frame into several rectangular areas and each tile is converted into multiple representations with different r ...

Piscataway2023

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Silvestro Micera, Simone Romeni, Luca Pierantoni, Gabriele Marino

Computational models have been widely employed to study the electrical stimulation of the nervous system. Still, most applications either study fundamental mechanisms underlying stimulation, or address qualitative scientific questions. When quantitative qu ...

IEEE2023

Online active and dynamic object shape exploration with a multi-fingered robotic hand

Aude Billard, Kunpeng Yao, Xiao Gao, Farshad Khadivar

The sense of touch can provide a robot with a wealth of information about the contact region when interacting with an unknown environment. Nevertheless, utilizing touch information to plan exploration paths and adjust robot posture to improve task efficien ...

ELSEVIER2023

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Algorithme évolutionniste

A ride time-oriented scheduling algorithm for dial-a-ride problems

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

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

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

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Data-driven optimization tool for the functional, economic, and environmental properties of blended cement concrete using supplementary cementitious materials

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Online active and dynamic object shape exploration with a multi-fingered robotic hand

Working Space

Graph Chatbot

Chattez avec Graph Search

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

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Working Space

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

A ride time-oriented scheduling algorithm for dial-a-ride problems

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Data-driven optimization tool for the functional, economic, and environmental properties of blended cement concrete using supplementary cementitious materials

Online active and dynamic object shape exploration with a multi-fingered robotic hand