Zobrazeno 1 - 10
of 33
pro vyhledávání: '"S.M. Elkhodary"'
Publikováno v:
The International Conference on Electrical Engineering. 11:1-9
Autor:
Loai Nasrat, Mohamed F. Abdelkarim, Abdelmohymen M. Soliman, S. H. Mansour, Amer M. Hassan, S.M. Elkhodary
Publikováno v:
Engineering, Technology & Applied Science Research. 5:775-780
Electrical and mechanical properties of polymer composite materials are investigated through the determination of resistivity and hardness for composites samples. Epoxy composite samples have been prepared with different concentrations of certain ino
Publikováno v:
Journal of Bioinformatics and Intelligent Control. 2:237-242
Publikováno v:
Electric Power Components and Systems. 41:537-554
One objective of the feeder reconfiguration problem in distribution systems is to minimize the distribution network total power loss for a specific load. For this problem, mathematical modeling is a non-linear mixed integer problem that is generally
Publikováno v:
2016 Eighteenth International Middle East Power Systems Conference (MEPCON).
Medium voltage heat shrinkable cable terminations are widely used in Egypt especially in construction sites, at the transformer terminals, in ring main units or in medium voltage towers to connect underground cables to overhead lines. This paper deal
Publikováno v:
Journal of Bioinformatics and Intelligent Control. 1:86-94
Publikováno v:
2012 IEEE Power and Energy Society General Meeting.
This paper presents a study for the network reconfiguration problem for loss reduction with distributed generation units (DGs) included in the network. Two heuristic algorithms inspired from natural phenomena are proposed to solve the problem, real a
Publikováno v:
The 2011 International Conference on Computer Engineering & Systems.
This paper introduces the Ant Colony Optimization algorithm (ACO) implemented in the Hyper-Cube (HC) framework to solve the distribution network minimum loss reconfiguration problem. The ACO is a relatively new and powerful intelligence evolution met
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783642271717
SEMCCO (1)
SEMCCO (1)
This paper introduces the Harmony Search (HS) algorithm to solve the distribution network minimum loss reconfiguration problem. The HS is an emerging music-based meta-heuristic optimization algorithm. It is a population-based approach which mimics mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5ba404fed042c5f33e1e60f99875a7
https://doi.org/10.1007/978-3-642-27172-4_80
https://doi.org/10.1007/978-3-642-27172-4_80
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783642272417
SEMCCO (2)
SEMCCO (2)
This paper introduces the Ant Colony Optimization algorithm (ACO) implemented in the Hyper-Cube (HC) framework to solve the distribution network minimum loss reconfiguration problem. The ACO is a relatively new and powerful intelligence evolution met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a121dbdab12a366ff28b101106ed07ff
https://doi.org/10.1007/978-3-642-27242-4_30
https://doi.org/10.1007/978-3-642-27242-4_30