A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for global optimization problems

Autor: Zuhairi Baharudin, Perumal Nallagownden, Dieu N. Vo, Khoa H. Truong

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

Hybrid Mean-Variance Mapping Optimization for Economic Dispatch with Multiple Fuels Considering Valve-Point Effects

Autor: Khoa H. Truong, Dieu N. Vo, Pandian Vasant, Balbir Singh Mahinder Singh

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319469089
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

Pseudo-gradient based particle swarm optimization for nonconvex economic dispatch

Autor: Dieu N. Vo, Weerakorn Ongsakul, Peter Schegner

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