On the Potential of the Particle Swarm Algorithm for the Optimization of Detailed Kinetic Mechanisms. Comparison with the Genetic Algorithm-Reference-Cited by-同舟云学术

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On the Potential of the Particle Swarm Algorithm for the Optimization of Detailed Kinetic Mechanisms. Comparison with the Genetic Algorithm

Published:2021-06-04 Issue:23 Volume:125 Page:5180-5189
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

El Rassy Elissa¹,Delaroque Aurélie²^ORCID,Sambou Patrick²,Chakravarty Harish Kumar²^ORCID,Matynia Alexis²^ORCID

Affiliation:

1. Laboratoire de Thermique et Energie de Nantes, UMR 6607, Rue Christian Pauc, BP 50609, 44306 Nantes cedex 03, France

2. Sorbonne Université, Centre National de la Recherche Scientifique, UMR 7190, Institut Jean Le Rond ∂’Alembert, F-75005 Paris, France

Funder

ONERA

ED SMAER

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.1c02095

Reference44 articles.

1. Toward accommodating realistic fuel chemistry in large-scale computations

2. Oxygen atom kinetics in silane–hydrogen–nitrous oxide mixtures behind reflected shock waves

3. Ab Initio Computation of Combustion Kinetics. 1. Vinyl Radical + O2

4. Alcohol combustion chemistry

5. Combustion kinetic model uncertainty quantification, propagation and minimization

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