Publications associées à Algorithme génétique

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

Giuseppe Carleo, Julien Sebastian Gacon, Stefan Woerner

The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum Imaginary Time Evolution. Computing the full QFIM for a model with d parameters, however, is computat ...

VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF2021

A modular functional framework for the design and evaluation of multi-robot navigation

Alcherio Martinoli, Cyrill Silvan Baumann

In this work, we address the design of tightly integrated control, estimation, and allocation algorithms allowing a group of robots to move collectively. For doing so, we leverage a modular framework that allows us to define precisely the needed functional ...

2021

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Dario Floreano, Davide Zappetti, Davide Zambrano, Giovanni Iacca

Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulators, represent a valid tool to overcome this issue. In this work, we investi ...

Association for Computing Machinery2021

Spatial areas of genotype probability: Predicting the spatial distribution of adaptive genetic variants under future climatic conditions

Stéphane Joost, Oliver Michele Selmoni, Estelle Rochat

In a context of rapid global change, one of the key components for the survival of species is their genetic evolutionary potential for adaptation. Many methods have been developed to identify genetic variants underpinning adaptation to climate, but few too ...

WILEY2021

Knapsack and Subset Sum with Small Items

Adam Teodor Polak, Lars Rohwedder

Knapsack and Subset Sum are fundamental NP-hard problems in combinatorial optimization. Recently there has been a growing interest in understanding the best possible pseudopolynomial running times for these problems with respect to various parameters. In t ...

Schloss Dagstuhl -- Leibniz-Zentrum für Informatik2021

Bias free multiobjective active learning for materials design and discovery

Berend Smit, Kevin Maik Jablonka, Shi-Lin Wang

The design rules for materials are clear for applications with a single objective. For most applications, however, there are often multiple, sometimes competing objectives where there is no single best material and the design rules change to finding the se ...

NATURE RESEARCH2021

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

Mario Paolone, Rahul Kumar Gupta

The objective of this activity is to validate an advanced real-time control framework for power distribution networks in order to control grid-connected battery energy storage system (BESSs) to satisfy the control’s objectives such as tracking a day-ahead ...

SCCER-FURIES2021

Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient

Zhen Wei, Zhiye Wang, Peixia Li

Person retrieval aims at effectively matching the pedestrian images over an extensive database given a specified identity. As extracting effective features is crucial in a high-performance retrieval system, recent significant progress was achieved by part- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Geometric optimization of dielectric elastomer electrodes for dynamic applications

Herbert Shea, Bekir Aksoy, Emil Yan Garnell

Dielectric elastomers are soft actuators, made of an elastomer membrane sandwiched by compliant electrodes. Because of their high energy density and quick response, they are well suited for dynamic applications such as loudspeakers. Thanks to progress in t ...

ELSEVIER SCI LTD2021

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Algorithme génétique

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

A modular functional framework for the design and evaluation of multi-robot navigation

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Spatial areas of genotype probability: Predicting the spatial distribution of adaptive genetic variants under future climatic conditions

Knapsack and Subset Sum with Small Items

Bias free multiobjective active learning for materials design and discovery

Genetic, metabolic, and molecular insights into the diverse outcomes of diet-induced obesity in mouse

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient

Geometric optimization of dielectric elastomer electrodes for dynamic applications

Graph Chatbot

Chattez avec Graph Search

Spatial areas of genotype probability: Predicting the spatial distribution of adaptive genetic variants under future climatic conditions

Knapsack and Subset Sum with Small Items

Geometric optimization of dielectric elastomer electrodes for dynamic applications

Genetic, metabolic, and molecular insights into the diverse outcomes of diet-induced obesity in mouse

Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

A modular functional framework for the design and evaluation of multi-robot navigation

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Bias free multiobjective active learning for materials design and discovery

Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient