Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Dieu N. Vo"'
Publikováno v:
Applied Soft Computing. 77:567-583
This study proposes an improved version of the Symbiotic Organisms Search (SOS) algorithm called Quasi-Oppositional Chaotic Symbiotic Organisms Search (QOCSOS). This improved algorithm integrated Quasi-Opposition-Based Learning (QOBL) and Chaotic Loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f47c32747bfcb0934d2fedda541da321
https://doi.org/10.1016/j.asoc.2019.01.043
https://doi.org/10.1016/j.asoc.2019.01.043
Publikováno v:
Applied Soft Computing. 88:106067
This paper aims to apply an improved meta-heuristic method to optimize the allocation of distributed generation (DG) units in radial distribution networks (RDNs). The proposed method, namely the Quasi-Oppositional Chaotic Symbiotic Organisms Search (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d223f04fbfde7c85d9d913d778e0f5
https://doi.org/10.1016/j.asoc.2020.106067
https://doi.org/10.1016/j.asoc.2020.106067
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319469089
ICTCC
ICTCC
Many thermal generating units of an electric power system are supplied with multi-fuel sources such as coal, natural gas and oil. These fuels represent irreplaceable natural resources and conservation is used as a way to increase energy efficiency. E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fdfd79c475eefe20d49f71c0e97f04e
https://doi.org/10.1007/978-3-319-46909-6_19
https://doi.org/10.1007/978-3-319-46909-6_19
Publikováno v:
Proceedings in Adaptation, Learning and Optimization ISBN: 9783319133553
The hybrid differential evolution and gravitational search algorithm (DEGSA) to solve economic dispatch (ED) problems with non-convex cost functions is presented in this paper with various generator constraints in power systems. The proposed DEGSA me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81bd60d4a9aaf8f3596ae3cd7ddf216c
https://doi.org/10.1007/978-3-319-13356-0_8
https://doi.org/10.1007/978-3-319-13356-0_8
Publikováno v:
AIP Conference Proceedings.
This chapter proposes a pseudo-gradient based particle swarm optimization (PGPSO) method for solving nonconvex economic dispatch (ED) including valve point effects, multiple fuels, and prohibited operating zones. The proposed PGPSO is based on the se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::976e8be19b66e11b3659ca67166995e5
https://doi.org/10.1063/1.4768969
https://doi.org/10.1063/1.4768969
Publikováno v:
Proceedings of SPIE; 1/28/2024, Vol. 12790, p127904G-127904G-6, 1p
Autor:
Le, Dung A.1, Vo, Dieu N.1
Publikováno v:
International Journal of Energy Optimization & Engineering. Jan-Mar2016, Vol. 5 Issue 1, p23-34. 12p.
Publikováno v:
Nature of Computation & Communication (9783319469089); 2016, pI-XIII, 13p
Publikováno v:
2015 XI International Conference on Perspective Technologies & Methods in MEMS Design (MEMSTECH); 2015, p1-7, 7p
Publikováno v:
Proceedings of the 18th Asia Pacific Symposium on Intelligent & Evolutionary Systems - Volume 2; 2015, p1-10, 10p