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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:

Self-adaptive control parameters׳ randomization frequency and propagations in differential evolution
Aleš Zamuda, Janez Brest
Swarm and Evolutionary Computation (2015) Vol. 25, pp. 72-99
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Recent advances in differential evolution – An updated survey
Swagatam Das, Sankha Subhra Mullick, Ponnuthurai Nagaratnam Suganthan
Swarm and Evolutionary Computation (2016) Vol. 27, pp. 1-30
Closed Access | Times Cited: 1442
Differential Evolution: A review of more than two decades of research
Bilal, Millie Pant, Hira Zaheer, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103479-103479
Closed Access | Times Cited: 690
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
Ensemble strategies for population-based optimization algorithms – A survey
Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 695-711
Closed Access | Times Cited: 230
Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization
Ali Wagdy Mohamed, Anas A. Hadi, Kamal Jambi
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100455-100455
Closed Access | Times Cited: 219
Review of Differential Evolution population size
A. Piotrowski
Swarm and Evolutionary Computation (2016) Vol. 32, pp. 1-24
Open Access | Times Cited: 206
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Rawaa Dawoud Al-Dabbagh, Ferrante Neri, Norisma Idris, et al.
Swarm and Evolutionary Computation (2018) Vol. 43, pp. 284-311
Open Access | Times Cited: 193
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
Mohammad H. Nadimi-Shahraki, Hoda Zamani
Expert Systems with Applications (2022) Vol. 198, pp. 116895-116895
Closed Access | Times Cited: 92
Particle Swarm Optimization or Differential Evolution—A comparison
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106008-106008
Closed Access | Times Cited: 58
iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization
Janez Brest, Mirjam Sepesy Maučec, Borko Bošković
2022 IEEE Congress on Evolutionary Computation (CEC) (2016)
Closed Access | Times Cited: 164
Population topologies for particle swarm optimization and differential evolution
Nandar Lynn, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan
Swarm and Evolutionary Computation (2017) Vol. 39, pp. 24-35
Closed Access | Times Cited: 159
Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation
Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan
Soft Computing (2017) Vol. 22, Iss. 10, pp. 3215-3235
Closed Access | Times Cited: 154
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
Hybrid self-adaptive cuckoo search for global optimization
Uroš Mlakar, Iztok Fister, Iztok Fister
Swarm and Evolutionary Computation (2016) Vol. 29, pp. 47-72
Closed Access | Times Cited: 107
Swarm Intelligence and Evolutionary Algorithms: Performance versus speed
A. Piotrowski, Maciej Napiórkowski, Jarosław J. Napiórkowski, et al.
Information Sciences (2016) Vol. 384, pp. 34-85
Closed Access | Times Cited: 105
Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism
Laizhong Cui, Genghui Li, Zexuan Zhu, et al.
Information Sciences (2017) Vol. 422, pp. 122-143
Closed Access | Times Cited: 101
Role of swarm and evolutionary algorithms for intrusion detection system: A survey
Ankit Thakkar, Ritika Lohiya
Swarm and Evolutionary Computation (2019) Vol. 53, pp. 100631-100631
Closed Access | Times Cited: 88
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
Differential Evolution Algorithm with Hierarchical Fair Competition Model
Amit Ramesh Khaparde, Fawaz Alassery, Arvind Kumar, et al.
Intelligent Automation & Soft Computing (2022) Vol. 33, Iss. 2, pp. 1045-1062
Open Access | Times Cited: 53
Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
Sanjoy Chakraborty, Apu Kumar Saha, Absalom E. Ezugwu, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 985-1040
Open Access | Times Cited: 37
Developments and Design of Differential Evolution Algorithm for Non-linear/Non-convex Engineering Optimization
Pooja Tiwari, Vishnu Narayan Mishra, Raghav Prasad Parouha
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2227-2263
Closed Access | Times Cited: 8
Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure?
A. Piotrowski, Jarosław J. Napiórkowski
Swarm and Evolutionary Computation (2018) Vol. 43, pp. 88-108
Closed Access | Times Cited: 75
Constrained differential evolution optimization for underwater glider path planning in sub-mesoscale eddy sampling
Aleš Zamuda, José Daniel Hernández Sosa, Leonhard Adler
Applied Soft Computing (2016) Vol. 42, pp. 93-118
Closed Access | Times Cited: 70
Some metaheuristics should be simplified
A. Piotrowski, Jarosław J. Napiórkowski
Information Sciences (2017) Vol. 427, pp. 32-62
Closed Access | Times Cited: 67
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction
Noor H. Awad, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan
Swarm and Evolutionary Computation (2017) Vol. 39, pp. 141-156
Closed Access | Times Cited: 66
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