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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:

Single objective real-parameter optimization: Algorithm jSO
Janez Brest, Mirjam Sepesy Maučec, Borko Bošković
2022 IEEE Congress on Evolutionary Computation (CEC) (2017), pp. 1311-1318
Closed Access | Times Cited: 369

Showing 1-25 of 369 citing articles:

Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization
Satnam Kaur, Lalit Kumar Awasthi, Amrit Lal Sangal, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103541-103541
Closed Access | Times Cited: 1022
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
Jacinto Carrasco, Salvador García, M. Rueda, et al.
Swarm and Evolutionary Computation (2020) Vol. 54, pp. 100665-100665
Open Access | Times Cited: 426
Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design
Lianbo Ma, Shi Cheng, Yuhui Shi
IEEE Transactions on Systems Man and Cybernetics Systems (2020) Vol. 51, Iss. 11, pp. 6723-6742
Closed Access | Times Cited: 255
An intensify Harris Hawks optimizer for numerical and engineering optimization problems
Vikram Kumar Kamboj, Ayani Nandi, Ashutosh Bhadoria, et al.
Applied Soft Computing (2019) Vol. 89, pp. 106018-106018
Closed Access | Times Cited: 243
PaDE: An enhanced Differential Evolution algorithm with novel control parameter adaptation schemes for numerical optimization
Zhenyu Meng, Jeng‐Shyang Pan, Kuo-Kun Tseng
Knowledge-Based Systems (2019) Vol. 168, pp. 80-99
Closed Access | Times Cited: 221
Adaptive Distributed Differential Evolution
Zhi‐Hui Zhan, Zijia Wang, Hu Jin, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 11, pp. 4633-4647
Open Access | Times Cited: 221
ESA: a hybrid bio-inspired metaheuristic optimization approach for engineering problems
Gaurav Dhiman
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 323-353
Closed Access | Times Cited: 184
QANA: Quantum-based avian navigation optimizer algorithm
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104314-104314
Open Access | Times Cited: 183
An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion
Fuqing Zhao, Lexi Zhao, Ling Wang, et al.
Expert Systems with Applications (2020) Vol. 160, pp. 113678-113678
Closed Access | Times Cited: 171
FBI inspired meta-optimization
Jui‐Sheng Chou, Ngoc‐Mai Nguyen
Applied Soft Computing (2020) Vol. 93, pp. 106339-106339
Closed Access | Times Cited: 153
Dynamic Levy Flight Chimp Optimization
Wei Kaidi, Mohammad Khishe, Mokhtar Mohammadi
Knowledge-Based Systems (2021) Vol. 235, pp. 107625-107625
Closed Access | Times Cited: 132
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Antonio LaTorre, Daniel Molina, Eneko Osaba, et al.
Swarm and Evolutionary Computation (2021) Vol. 67, pp. 100973-100973
Open Access | Times Cited: 127
A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations
Mohammad H. Nadimi-Shahraki, Hoda Zamani, Zahra Asghari Varzaneh, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4113-4159
Open Access | Times Cited: 108
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: 51
Modified LSHADE-SPACMA with new mutation strategy and external archive mechanism for numerical optimization and point cloud registration
Shengwei Fu, Chi Ma, Ke Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 2
A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell
Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Distance based parameter adaptation for Success-History based Differential Evolution
Adam Viktorin, Roman Šenkeřík, Michal Pluháček, et al.
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100462-100462
Open Access | Times Cited: 121
LSHADE Algorithm with Rank-Based Selective Pressure Strategy for Solving CEC 2017 Benchmark Problems
Vladimir Stanovov, Shakhnaz Akhmedova, Eugene Semenkin
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 111
Particle swarm optimization with adaptive learning strategy
Yunfeng Zhang, Xinxin Liu, Fangxun Bao, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105789-105789
Closed Access | Times Cited: 99
HARD-DE: Hierarchical ARchive Based Mutation Strategy With Depth Information of Evolution for the Enhancement of Differential Evolution on Numerical Optimization
Zhenyu Meng, Jeng‐Shyang Pan
IEEE Access (2019) Vol. 7, pp. 12832-12854
Open Access | Times Cited: 98
A new selection operator for differential evolution algorithm
Zhiqiang Zeng, Min Zhang, Tao Chen, et al.
Knowledge-Based Systems (2021) Vol. 226, pp. 107150-107150
Closed Access | Times Cited: 93
The 100-Digit Challenge: Algorithm jDE100
Janez Brest, Mirjam Sepesy Maučec, Borko Bošković
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 19-26
Closed Access | Times Cited: 87
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions
Daniel Molina, Antonio LaTorre, Francisco Herrera
Cognitive Computation (2018) Vol. 10, Iss. 4, pp. 517-544
Closed Access | Times Cited: 85
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient
Jianyong Sun, Xin Liu, Thomas Bäck, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 666-680
Open Access | Times Cited: 84
Improving Differential Evolution through Bayesian Hyperparameter Optimization
Subhodip Biswas, Debanjan Saha, Shuvodeep De, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2021), pp. 832-840
Closed Access | Times Cited: 80
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