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OpenAlex Citation Counts

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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:

A novel multi-population cultural algorithm adopting knowledge migration
Yinan Guo, Jianwei Cheng, Yuanyuan Cao, et al.
Soft Computing (2010) Vol. 15, Iss. 5, pp. 897-905
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A survey on optimization metaheuristics
Ilhem Boussaïd, Julien Lepagnot, Patrick Siarry
Information Sciences (2013) Vol. 237, pp. 82-117
Closed Access | Times Cited: 1427
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
Hao Chen, Ali Asghar Heidari, Huiling Chen, et al.
Future Generation Computer Systems (2020) Vol. 111, pp. 175-198
Closed Access | Times Cited: 301
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
Haiping Ma, Shigen Shen, Mei Yu, et al.
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 365-387
Closed Access | Times Cited: 178
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
Hao Chen, Ali Asghar Heidari, Xuehua Zhao, et al.
Expert Systems with Applications (2019) Vol. 144, pp. 113113-113113
Closed Access | Times Cited: 103
CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization
Noor H. Awad, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan, et al.
Information Sciences (2016) Vol. 378, pp. 215-241
Closed Access | Times Cited: 76
Multi-population-based adaptive sine cosine algorithm with modified mutualism strategy for global optimization
Apu Kumar Saha
Knowledge-Based Systems (2022) Vol. 251, pp. 109326-109326
Closed Access | Times Cited: 34
A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization
Mostafa Z. Ali, Noor H. Awad, Ponnuthurai Nagaratnam Suganthan, et al.
Information Sciences (2015) Vol. 334-335, pp. 219-249
Closed Access | Times Cited: 43
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
Yun Liu, Yanqing Shi, Hao Chen, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114369-114369
Closed Access | Times Cited: 34
A comprehensive survey on cultural algorithms
Alireza Maheri, Shahin Jalili, Yousef Hosseinzadeh, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100846-100846
Open Access | Times Cited: 30
Covariance Matrix Adaptation Driven Dynamic Multi-population Colony Predation Optimizer: Insights, Qualitative Analysis, and Constrained Engineering Optimization
Xinsen Zhou, Jie Xing, Wenyong Gui, et al.
Applied Soft Computing (2025), pp. 113041-113041
Closed Access
Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems
Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan, Robert G. Reynolds, et al.
IEEE Transactions on Evolutionary Computation (2015) Vol. 20, Iss. 2, pp. 218-231
Closed Access | Times Cited: 34
Multi-search differential evolution algorithm
Xiangtao Li, Shijing Ma, Jiehua Hu
Applied Intelligence (2017) Vol. 47, Iss. 1, pp. 231-256
Closed Access | Times Cited: 33
A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization
Mostafa Z. Ali, Noor H. Awad
Information Sciences (2014) Vol. 267, pp. 158-190
Closed Access | Times Cited: 31
Heterogeneous Multi-Population Cultural Algorithm
Mohammad R. Raeesi N., Ziad Kobti
(2013), pp. 292-299
Closed Access | Times Cited: 25
Multiobjective optimization with ϵ-constrained method for solving real-parameter constrained optimization problems
Jing–Yu Ji, Wei–Jie Yu, Yue‐Jiao Gong, et al.
Information Sciences (2018) Vol. 467, pp. 15-34
Closed Access | Times Cited: 22
Cultural Algorithm with improved local search for optimization problems
Noor H. Awad, Mostafa Z. Ali, Rehab Duwairi
(2013), pp. 284-291
Closed Access | Times Cited: 21
A multi-population cultural algorithm with adaptive diversity preservation and its application in ammonia synthesis process
Wei Xu, Raofen Wang, Lingbo Zhang, et al.
Neural Computing and Applications (2011) Vol. 21, Iss. 6, pp. 1129-1140
Closed Access | Times Cited: 19
Multi-population Cooperative Cultural Algorithms
Yinan Guo, Dandan Liu, Jianwei Cheng
Lecture notes in computer science (2012), pp. 199-206
Closed Access | Times Cited: 18
Knowledge Sharing Through Agent Migration with Multi-Population Cultural Algorithm.
Andrew William Hlynka, Ziad Kobti
The Florida AI Research Society (2013)
Closed Access | Times Cited: 11
Heterogeneous Multi-Population Cultural Algorithm with a Dynamic Dimension Decomposition Strategy
Mohammad R. Raeesi N., Ziad Kobti
Lecture notes in computer science (2014), pp. 345-350
Closed Access | Times Cited: 10
Adaptive Cultural Algorithm-Based Cuckoo Search for Time-Dependent Vehicle Routing Problem with Stochastic Customers Using Adaptive Fractional Kalman Speed Prediction
Han Xue
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 10
A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier
Cuiwen Cao, Yakun Zhang, Teng Yu, et al.
Chinese Journal of Chemical Engineering (2015) Vol. 23, Iss. 9, pp. 1484-1501
Closed Access | Times Cited: 9
Hybrid niche Cultural Algorithm for numerical global optimization
Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds
(2013), pp. 309-316
Closed Access | Times Cited: 8
Multi-population cooperative particle swarm cultural algorithms
Yinan Guo, Dandan Liu
(2011), pp. 1351-1355
Closed Access | Times Cited: 7
A quantum-behaved particle swarm optimization algorithm with the flexible single-/multi-population strategy and multi-stage perturbation strategy based on the characteristics of objective function
Yunhua Guo, Nian-Zhong Chen, Junmin Mou, et al.
Soft Computing (2019) Vol. 24, Iss. 9, pp. 6909-6956
Closed Access | Times Cited: 7
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