Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ayat Ali Saleh"'
Publikováno v:
Energies, Vol 13, Iss 21, p 5800 (2020)
This work introduces multi-objective water cycle algorithm (MOWCA) to find the accurate location and size of distributed energy resource (DERs) considering different load models for two seasons (winter, and summer). The impact of uncertainties produc
Externí odkaz:
https://doaj.org/article/0878d8f7d19a4919b930bd084c5ddae0
Autor:
Ayat Ali Saleh, Tomonobu Senjyu, Salem Alkhalaf, Ashraf Mohamed Hemeida, Al-Attar Ali Mohamed
Publikováno v:
Sustainability, Vol 11, Iss 19, p 5323 (2019)
Sustainability
Volume 11
Issue 19
Sustainability
Volume 11
Issue 19
In this paper, the performance of different optimization techniques namely, multi-objective dragonfly algorithm (MODA) and multi-objective differential evolution (MODE) are presented and compared. The uncertainty effect of a wind turbine (WT) on the
Publikováno v:
2019 International Conference on Innovative Trends in Computer Engineering (ITCE).
In this paper, proposed optimization technique called whale optimization algorithm (WOA) is presents to find the optimum allocation of distributed generation (DG) and capacitor in radial distribution systems during reduction of single and multi-objec
Publikováno v:
2019 International Conference on Innovative Trends in Computer Engineering (ITCE).
In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losse
Publikováno v:
2019 International Conference on Innovative Trends in Computer Engineering (ITCE).
A number of different optimization algorithms namely, Moth Swarm Algorithm (MSA), and Particle Swarm Optimization (PSO) algorithm are presented and compared in this paper. Different optimization techniques are used to determine the optimum allocation
Publikováno v:
2018 International Conference on Innovative Trends in Computer Engineering (ITCE).
This paper aims to present and compare a number of optimization algorithms techniques namely, Whale Optimization Algorithm(WOA), Dragonfly Algorithm (DA) and Moth-Flame Optimization (MFO) algorithm. These approaches have been implemented to identify