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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Optimal power flow using moth swarm algorithm
Al-Attar Ali Mohamed, Yahia S. Mohamed, Ahmed A. M. El-Gaafary, et al.
Electric Power Systems Research (2016) Vol. 142, pp. 190-206
Closed Access | Times Cited: 461

Showing 1-25 of 461 citing articles:

Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
Weiguo Zhao, Zhenxing Zhang, Liying Wang
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103300-103300
Closed Access | Times Cited: 858
An improved grey wolf optimizer for solving engineering problems
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili
Expert Systems with Applications (2020) Vol. 166, pp. 113917-113917
Closed Access | Times Cited: 829
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
Weiguo Zhao, Liying Wang, Zhenxing Zhang
Knowledge-Based Systems (2018) Vol. 163, pp. 283-304
Closed Access | Times Cited: 555
Optimal power flow solutions incorporating stochastic wind and solar power
Partha Pratim Biswas, Ponnuthurai Nagaratnam Suganthan, G.A.J. Amaratunga
Energy Conversion and Management (2017) Vol. 148, pp. 1194-1207
Closed Access | Times Cited: 439
Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
Shijie Zhao, Tianran Zhang, Shilin Ma, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105075-105075
Closed Access | Times Cited: 306
Moth–flame optimization algorithm: variants and applications
Mohammad Shehab, Laith Abualigah, Husam Al Hamad, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 14, pp. 9859-9884
Closed Access | Times Cited: 251
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques
Partha Pratim Biswas, Ponnuthurai Nagaratnam Suganthan, Rammohan Mallipeddi, et al.
Engineering Applications of Artificial Intelligence (2017) Vol. 68, pp. 81-100
Closed Access | Times Cited: 250
Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm
Partha Pratim Biswas, Ponnuthurai Nagaratnam Suganthan, Guohua Wu, et al.
Renewable Energy (2018) Vol. 132, pp. 425-438
Open Access | Times Cited: 168
A high performance social spider optimization algorithm for optimal power flow solution with single objective optimization
Thang Trung Nguyen
Energy (2019) Vol. 171, pp. 218-240
Closed Access | Times Cited: 167
Modified JAYA algorithm for optimal power flow incorporating renewable energy sources considering the cost, emission, power loss and voltage profile improvement
Ehab E. Elattar, Salah K. Elsayed
Energy (2019) Vol. 178, pp. 598-609
Closed Access | Times Cited: 153
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources
Uğur Güvenç, Serhat Duman, Hamdi Tolga Kahraman, et al.
Applied Soft Computing (2021) Vol. 108, pp. 107421-107421
Closed Access | Times Cited: 110
Review of Metaheuristic Optimization Algorithms for Power Systems Problems
Ahmed M. Nassef, Mohammad Ali Abdelkareem, Hussein M. Maghrabie, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9434-9434
Open Access | Times Cited: 62
Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer
Mohamed H. Hassan, Salah Kamel, Francisco Jurado, et al.
Alexandria Engineering Journal (2023) Vol. 72, pp. 573-591
Open Access | Times Cited: 54
A Modified Artificial Hummingbird Algorithm for solving optimal power flow problem in power systems
Mohamed Ebeed, Mohamed A. Abdelmotaleb, Noor Habib Khan, et al.
Energy Reports (2024) Vol. 11, pp. 982-1005
Open Access | Times Cited: 23
Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach
M. Premkumar, Tengku Juhana Tengku Hashim, R. Sowmya, et al.
Alexandria Engineering Journal (2024) Vol. 93, pp. 90-113
Open Access | Times Cited: 21
An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering optimization
Mojtaba Ghasemi, Mohamed Deriche, Pavel Trojovský, et al.
Results in Engineering (2025), pp. 104215-104215
Open Access | Times Cited: 3
An enhanced associative learning-based exploratory whale optimizer for global optimization
Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 9, pp. 5185-5211
Closed Access | Times Cited: 138
Optimal power flow by means of improved adaptive differential evolution
Shuijia Li, Wenyin Gong, Ling Wang, et al.
Energy (2020) Vol. 198, pp. 117314-117314
Closed Access | Times Cited: 138
SMES based a new PID controller for frequency stability of a real hybrid power system considering high wind power penetration
Gaber Magdy, Emad A. Mohamed, G. Shabib, et al.
IET Renewable Power Generation (2018) Vol. 12, Iss. 11, pp. 1304-1313
Closed Access | Times Cited: 125
A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems
Ehsan Naderi, Mahdi Pourakbari‐Kasmaei, Fernando V. Cerna, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 125, pp. 106492-106492
Closed Access | Times Cited: 120
Optimal power flow using the AMTPG-Jaya algorithm
Warid Warid
Applied Soft Computing (2020) Vol. 91, pp. 106252-106252
Closed Access | Times Cited: 117
A Solution to the Optimal Power Flow Problem Considering WT and PV Generation
Zia Ullah, Shaorong Wang, Jordan Radosavljević, et al.
IEEE Access (2019) Vol. 7, pp. 46763-46772
Open Access | Times Cited: 116
Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons
Attia A. El‐Fergany, Hany M. Hasanien
Applied Soft Computing (2017) Vol. 64, pp. 307-316
Closed Access | Times Cited: 106
Salp swarm optimizer to solve optimal power flow comprising voltage stability analysis
Attia A. El‐Fergany, Hany M. Hasanien
Neural Computing and Applications (2019) Vol. 32, Iss. 9, pp. 5267-5283
Closed Access | Times Cited: 104
Modified grasshopper optimization framework for optimal power flow solution
Mahrous A. Taher, Salah Kamel, Francisco Jurado, et al.
Electrical Engineering (2019) Vol. 101, Iss. 1, pp. 121-148
Closed Access | Times Cited: 103
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