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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 hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems
Ali Sharifi‐Zarchi, Javidan Kazemi Kordestani, Mahshid Mahdaviani, et al.
Applied Soft Computing (2015) Vol. 32, pp. 432-448
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Particle swarm optimization algorithm: an overview
Dongshu Wang, Dapei Tan, Lei Liu
Soft Computing (2017) Vol. 22, Iss. 2, pp. 387-408
Closed Access | Times Cited: 2148
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Michalis Mavrovouniotis, Changhe Li, Shengxiang Yang
Swarm and Evolutionary Computation (2017) Vol. 33, pp. 1-17
Open Access | Times Cited: 515
Particle Swarm Optimization
Dimitra G. Triantali, Konstantinos E. Parsopoulos
(2024), pp. 1-51
Closed Access | Times Cited: 18
An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems
Shams K. Nseef, Salwani Abdullah, Ayad Turky, et al.
Knowledge-Based Systems (2016) Vol. 104, pp. 14-23
Closed Access | Times Cited: 100
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B
Danial Yazdani, Ran Cheng, D. Yazdani, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 630-650
Open Access | Times Cited: 91
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
A clonal selection algorithm for dynamic multimodal function optimization
Wenjian Luo, Xin Lin, Tao Zhu, et al.
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100459-100459
Closed Access | Times Cited: 59
Adaptive memetic differential evolution with niching competition and supporting archive strategies for multimodal optimization
Weiguo Sheng, Xi Wang, Zidong Wang, et al.
Information Sciences (2021) Vol. 573, pp. 316-331
Open Access | Times Cited: 37
A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach
Javidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi, et al.
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 788-805
Closed Access | Times Cited: 43
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems
Javidan Kazemi Kordestani, Hossein Abedi Firouzjaee, Mohammad Reza Meybodi
Applied Intelligence (2017) Vol. 48, Iss. 1, pp. 97-117
Closed Access | Times Cited: 37
A cluster-based clonal selection algorithm for optimization in dynamic environment
Weiwei Zhang, Weizheng Zhang, Gary G. Yen, et al.
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100454-100454
Closed Access | Times Cited: 33
A robust memory based hybrid differential evolution for continuous optimization problem
Raghav Prasad Parouha, Kedar Nath Das
Knowledge-Based Systems (2016) Vol. 103, pp. 118-131
Closed Access | Times Cited: 31
Measures in the time and frequency domains for fitness landscape analysis of dynamic optimization problems
Hui Lu, Jinhua Shi, Zongming Fei, et al.
Applied Soft Computing (2016) Vol. 51, pp. 192-208
Closed Access | Times Cited: 22
A dual-population multi operators harmony search algorithm for dynamic optimization problems
Ayad Turky, Salwani Abdullah, Anas Dawod
Computers & Industrial Engineering (2018) Vol. 117, pp. 19-28
Closed Access | Times Cited: 21
A multilevel sampling strategy based memetic differential evolution for multimodal optimization
Xi Wang, Mengmeng Sheng, Kangfei Ye, et al.
Neurocomputing (2019) Vol. 334, pp. 79-88
Closed Access | Times Cited: 19
A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization
Bahareh Etaati, Zahra Ghorrati, Mohammad Mehdi Ebadzadeh
Applied Soft Computing (2021) Vol. 117, pp. 108389-108389
Closed Access | Times Cited: 13
New measures for comparing optimization algorithms on dynamic optimization problems
Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi
Natural Computing (2017) Vol. 18, Iss. 4, pp. 705-720
Closed Access | Times Cited: 11
A Novel Parametric benchmark generator for dynamic multimodal optimization
Ali Ahrari, Saber Elsayed, Ruhul Sarker, et al.
Swarm and Evolutionary Computation (2021) Vol. 65, pp. 100924-100924
Open Access | Times Cited: 8
An Interleaved Artificial Bee Colony algorithm for dynamic optimisation problems
Salwani Abdullah, Shams K. Nseef, Ayad Turky
Connection Science (2017) Vol. 30, Iss. 3, pp. 272-284
Closed Access | Times Cited: 8
A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach
Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani
Journal of Experimental & Theoretical Artificial Intelligence (2020) Vol. 33, Iss. 1, pp. 1-26
Closed Access | Times Cited: 6
Dynamics calculation of complex deep-sea cable system based on hybrid optimization algorithm
Yan Meng, Xuesong Xu, Min Zhao
Ocean Engineering (2020) Vol. 200, pp. 107041-107041
Closed Access | Times Cited: 6
Optimizing High-Dimensional Functions with an Efficient Particle Swarm Optimization Algorithm
Guoliang Li, Jinhong Sun, Mohammad N.A. Rana, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 5
An immune inspired framework for optimization in dynamic environment
Weiwei Zhang, Gary G. Yen, Xiao Wang
2022 IEEE Congress on Evolutionary Computation (CEC) (2016) Vol. 4, pp. 1800-1807
Closed Access | Times Cited: 3
A Culture-Based Artificial Bee Colony Algorithm for Optimization in Dynamic Environments
Dongli Jia
Journal of Advanced Computational Intelligence and Intelligent Informatics (2022) Vol. 26, Iss. 1, pp. 23-27
Open Access | Times Cited: 3
Adaptive multi-swarm in dynamic environments
Qin Jin, Chuhua Huang, Yuan Luo
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100870-100870
Closed Access | Times Cited: 4
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