Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms
Partha Pratim Biswas, Ponnuthurai Nagaratnam Suganthan, Rammohan Mallipeddi, et al.
Soft Computing (2019) Vol. 24, Iss. 4, pp. 2999-3023
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, et al.
Swarm and Evolutionary Computation (2021) Vol. 67, pp. 100961-100961
Closed Access | Times Cited: 157
Metaheuristic optimization algorithms: a comprehensive overview and classification of benchmark test functions
Pankaj Sharma, R. Saravanakumar
Soft Computing (2023) Vol. 28, Iss. 4, pp. 3123-3186
Closed Access | Times Cited: 50
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: 20
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: 20
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
Optimization of Optimal Power Flow Problem Using Multi-Objective Manta Ray Foraging Optimizer
Hamdi Tolga Kahraman, Mustafa Akbel, Serhat Duman
Applied Soft Computing (2021) Vol. 116, pp. 108334-108334
Closed Access | Times Cited: 94
Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy
Wenbo Qiu, Jianghan Zhu, Guohua Wu, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100776-100776
Closed Access | Times Cited: 82
Multi-objective optimal power flow with stochastic wind and solar power
Shuijia Li, Wenyin Gong, Ling Wang, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108045-108045
Closed Access | Times Cited: 79
Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey wolf algorithm
Muhyaddin Rawa, Abdullah Abusorrah, Hussain Bassi, et al.
Ain Shams Engineering Journal (2021) Vol. 12, Iss. 3, pp. 2717-2734
Open Access | Times Cited: 78
Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources
Serhat Duman, Mustafa Akbel, Hamdi Tolga Kahraman
Applied Soft Computing (2021) Vol. 112, pp. 107814-107814
Closed Access | Times Cited: 69
Multi-Objective Optimization Framework for Optimal Power Flow Problem of Hybrid Power Systems Considering Security Constraints
Sundaram B. Pandya, R. Sowmya, M. Premkumar, et al.
IEEE Access (2022) Vol. 10, pp. 103509-103528
Open Access | Times Cited: 39
Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm
Aamir Ali, Ghulam Abbas, Muhammad Usman Keerio, et al.
IET Generation Transmission & Distribution (2022) Vol. 17, Iss. 1, pp. 66-90
Open Access | Times Cited: 39
A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
M. Premkumar, C. Kumar, Thankkapan Dharma Raj, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 6, pp. 1333-1357
Open Access | Times Cited: 32
A multi-objective thermal exchange optimization model for solving optimal power flow problems in hybrid power systems
Sunilkumar Agrawal, Sundaram B. Pandya, Pradeep Jangir, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100299-100299
Open Access | Times Cited: 26
Aeroacoustic airfoil shape optimization enhanced by autoencoders
Jiaqing Kou, Laura Botero-Bolívar, Román Ballano, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119513-119513
Open Access | Times Cited: 25
Many-Objective Gradient-Based Optimizer to Solve Optimal Power Flow Problems: Analysis and Validations
M. Premkumar, Pradeep Jangir, R. Sowmya, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 106, pp. 104479-104479
Closed Access | Times Cited: 49
Economical-Environmental-Technical Operation of Power Networks with High Penetration of Renewable Energy Systems Using Multi-Objective Coronavirus Herd Immunity Algorithm
Ziad M. Ali, Shady H. E. Abdel Aleem, Ahmed I. Omar, et al.
Mathematics (2022) Vol. 10, Iss. 7, pp. 1201-1201
Open Access | Times Cited: 33
Modern Techniques for the Optimal Power Flow Problem: State of the Art
Benedetto-Giuseppe Risi, Francesco Riganti Fulginei, Antonino Laudani
Energies (2022) Vol. 15, Iss. 17, pp. 6387-6387
Open Access | Times Cited: 33
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
Hamdi Tolga Kahraman, Mustafa Akbel, Serhat Duman, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101196-101196
Closed Access | Times Cited: 33
Wind farm incorporated optimal power flow solutions through multi-objective horse herd optimization with a novel constraint handling technique
S. Ida Evangeline, P. Rathika
Expert Systems with Applications (2022) Vol. 194, pp. 116544-116544
Closed Access | Times Cited: 30
Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm
Jun‐Hua Zhu, Xiaobing Yu, Feng Wang, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101850-101850
Closed Access
Single and Multi-Objective Optimal Power Flow Based on JAYA Algorithm with Teaching-Learning Based Optimization
Oğuz Taşdemır, Salih Ermis
Research Square (Research Square) (2025)
Closed Access
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem
Josiel N. Kuk, Richard A. Gonçalves, Lucas Marcondes Pavelski, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113774-113774
Closed Access | Times Cited: 46
Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources
Karthik Nagarajan, Ayalur Krishnamoorthy Parvathy, R. Arul, et al.
International journal of energy and environmental engineering (2021) Vol. 12, Iss. 4, pp. 641-678
Closed Access | Times Cited: 33
Optimal Power Flow Incorporating Thyristor-Controlled Series Capacitors Using the Gorilla Troops Algorithm
Ahmed R. Ginidi, Ehab E. Elattar, Abdullah M. Shaheen, et al.
International Transactions on Electrical Energy Systems (2022) Vol. 2022, pp. 1-23
Open Access | Times Cited: 25
Page 1 - Next Page

Scroll to top