Optimal power flow using moth swarm algorithm

By A. Mohamed, Y. Mohamed, Ahmed A. M. El-Gaafary, A. Hemeida. 2017

466 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f4550c2eab4c30e90823361048656a1aca73e81e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Laith Mohammad Abualigah

In Electrical and Electronic Engineering

1. Mohammad Alshinwan
2. Mohammad-Hossein Nadimi-Shahraki
3. S. Mirjalili
4. Hamzeh Alabool
5. Mohammad Shehab
6. Shokooh Taghian
7. Laith Mohammad Abualigah

Citations in the corpus

• Moth–flame optimization algorithm: variants and applications (2019, methodology): “[80] presented and applied MFO to solve constrained OPF problem in three test power systems.”
• An improved grey wolf optimizer for solving engineering problems (2021, methodology): “…metaheuristic algorithms are applied for solving complex problems in different applications such as optimal power flow (Attia et al., 2018; A.-A. A. Mohamed et al., 2017; Nuaekaew et al., 2017), chip design (Fard et al., 2014; Venkataraman et al., 2020), feature selection (Arora et al., 2019;…”