Application of a simulation tool based on a bio-inspired algorithm for optimisation of distributed power generation systems-Reference-Cited by-同舟云学术

Application of a simulation tool based on a bio-inspired algorithm for optimisation of distributed power generation systems

Published:2021-01-01 Issue:1 Volume:8 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Colmenares-Quintero Ramón Fernando¹^ORCID,Góez-Sánchez Germán David²^ORCID,Colmenares-Quintero Juan Carlos³^ORCID,Latorre-Noguera Luis Fernando¹,Kasperczyk Damian⁴

Affiliation:

1. Faculty of Engineering, Universidad Cooperativa de Colombia, Medellín, Colombia

2. Instituto TecnológicoMetropolitano, Carrera 31 No. 54-10, Medellín, Colombia

3. Institute of Physical Chemistry of the Polish Academy of Sciences, Kasprzaka 44/52, Warsaw, Poland

4. Ekoinwentyka Ltd, Ruda Śląska, Poland

Funder

Universidad Cooperativa de Colombia

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2021.1909791

Reference17 articles.

1. Clerc, M. (2005). Particle swarm optimization. Hermes Science/Lavoisier, 2005.

2. Clerc, M. Standard particle swarm optimisation. 2012:1–15. https://pdfs.semanticscholar.org/c26f/d373a085b72b9a83724ef44b0d3780f0b93e.pdf

3. Route planning in real time for short-range aircraft with a constant-volume-combustor-geared turbofan to minimize operating costs by particle swarm optimization

4. Trajectory optimization of an innovative-turbofan-powered aircraft based on particle swarm approach for low environmental impact

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