Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)

Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)

Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units have been determined to optimize three different o...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Mahmoud G. Hemeida, Salem Alkhalaf, Al-Attar A. Mohamed, Abdalla Ahmed Ibrahim, Tomonobu Senjyu
Format: Artykuł
Język:English
Wydane: MDPI AG 2020-07-01
Seria:Energies
Hasła przedmiotowe:
optimization techniques
manta ray foraging optimization algorithm
multi-objective function
radial networks
optimal power flow
Dostęp online:https://www.mdpi.com/1996-1073/13/15/3847

Internet

https://www.mdpi.com/1996-1073/13/15/3847

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