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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:

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach
Michael G. Epitropakis, V.P. Plagianakos, Michael N. Vrahatis
Information Sciences (2012) Vol. 216, pp. 50-92
Closed Access | Times Cited: 134

Showing 1-25 of 134 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
Particle Swarm Optimization: A Comprehensive Survey
Tareq M. Shami, Ayman A. El‐Saleh, Mohammed Alswaitti, et al.
IEEE Access (2022) Vol. 10, pp. 10031-10061
Open Access | Times Cited: 644
Diversity enhanced particle swarm optimization with neighborhood search
Hui Wang, Hui Sun, Changhe Li, et al.
Information Sciences (2012) Vol. 223, pp. 119-135
Closed Access | Times Cited: 385
Self regulating particle swarm optimization algorithm
Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
Information Sciences (2014) Vol. 294, pp. 182-202
Closed Access | Times Cited: 303
No Free Lunch Theorem: A Review
Stavros P. Adam, Stamatios-Aggelos N. Alexandropoulos, Pãnos M. Pardalos, et al.
Springer optimization and its applications (2019), pp. 57-82
Closed Access | Times Cited: 292
Biogeography-based learning particle swarm optimization
Xu Chen, Huaglory Tianfield, Congli Mei, et al.
Soft Computing (2016) Vol. 21, Iss. 24, pp. 7519-7541
Closed Access | Times Cited: 220
An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
Qui X. Lieu, Dieu T.T., Jaehong Lee
Computers & Structures (2017) Vol. 195, pp. 99-112
Closed Access | Times Cited: 169
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Taiyong Li, Jiayi Shi, Wu Deng, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108731-108731
Closed Access | Times Cited: 82
Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm
Javad Sadeghi, Saeid Sadeghi, Seyed Taghi Akhavan Niaki
Information Sciences (2014) Vol. 272, pp. 126-144
Closed Access | Times Cited: 125
Sustainable maritime inventory routing problem with time window constraints
Arijit De, Sri Krishna Kumar, Angappa Gunasekaran, et al.
Engineering Applications of Artificial Intelligence (2017) Vol. 61, pp. 77-95
Open Access | Times Cited: 109
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
A fast hypervolume driven selection mechanism for many-objective optimisation problems
Shahin Rostami, Ferrante Neri
Swarm and Evolutionary Computation (2016) Vol. 34, pp. 50-67
Open Access | Times Cited: 97
Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems
Muhammad Rizwan Tanweer, Suresh Sundaram, N. Sundararajan
Information Sciences (2015) Vol. 326, pp. 1-24
Closed Access | Times Cited: 95
A genetic algorithm – differential evolution based hybrid framework: Case study on unit commitment scheduling problem
Anupam Trivedi, Dipti Srinivasan, Subhodip Biswas, et al.
Information Sciences (2016) Vol. 354, pp. 275-300
Closed Access | Times Cited: 95
A novel improved particle swarm optimization algorithm based on individual difference evolution
Jin Gou, Yu-Xiang Lei, Wang-Ping Guo, et al.
Applied Soft Computing (2017) Vol. 57, pp. 468-481
Closed Access | Times Cited: 88
Parameters identification of Bouc–Wen hysteresis model for piezoelectric actuators using hybrid adaptive differential evolution and Jaya algorithm
Nguyễn Ngọc Sơn, Cao Van Kien, Hồ Phạm Huy Ánh
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103317-103317
Closed Access | Times Cited: 76
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators
A. Piotrowski
Information Sciences (2013) Vol. 241, pp. 164-194
Closed Access | Times Cited: 99
Differential Evolution algorithms applied to Neural Network training suffer from stagnation
A. Piotrowski
Applied Soft Computing (2014) Vol. 21, pp. 382-406
Closed Access | Times Cited: 90
An adaptive two-layer particle swarm optimization with elitist learning strategy
Wei Hong Lim, Nor Ashidi Mat Isa
Information Sciences (2014) Vol. 273, pp. 49-72
Closed Access | Times Cited: 80
Adaptive acceleration coefficients for a new search diversification strategy in particle swarm optimization algorithms
Guido Ardizzon, Giovanna Cavazzini, Giorgio Pavesi
Information Sciences (2014) Vol. 299, pp. 337-378
Closed Access | Times Cited: 79
Improving particle swarm optimization using multi-layer searching strategy
Lin Wang, Bo Yang, Yuehui Chen
Information Sciences (2014) Vol. 274, pp. 70-94
Closed Access | Times Cited: 76
A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population
Wei Fang, Jun Sun, Huanhuan Chen, et al.
Information Sciences (2015) Vol. 330, pp. 19-48
Closed Access | Times Cited: 75
Modelling and analysis of intermodal food grain transportation under hub disruption towards sustainability
Lohithaksha M. Maiyar, Jitesh J. Thakkar
International Journal of Production Economics (2018) Vol. 217, pp. 281-297
Open Access | Times Cited: 74
A memory based differential evolution algorithm for unconstrained optimization
Raghav Prasad Parouha, Kedar Nath Das
Applied Soft Computing (2015) Vol. 38, pp. 501-517
Closed Access | Times Cited: 71
Particle swarm optimizer with two differential mutation
Yonggang Chen, Lixiang Li, Haipeng Peng, et al.
Applied Soft Computing (2017) Vol. 61, pp. 314-330
Closed Access | Times Cited: 71
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