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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:

Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms
Mang Wang, Bin Li, Guofu Zhang, et al.
IEEE Transactions on Evolutionary Computation (2017) Vol. 22, Iss. 4, pp. 550-563
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Bio-inspired computation: Where we stand and what's next
Javier Del Ser, Eneko Osaba, Daniel Molina, et al.
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 220-250
Open Access | Times Cited: 526
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
Kanchan Rajwar, Kusum Deep, Swagatam Das
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13187-13257
Open Access | Times Cited: 220
A Survey of Advances in Landscape Analysis for Optimisation
Katherine M. Malan
Algorithms (2021) Vol. 14, Iss. 2, pp. 40-40
Open Access | Times Cited: 99
Differential evolution with adaptive mutation strategy based on fitness landscape analysis
Zhiping Tan, Kangshun Li, Yi Wang
Information Sciences (2020) Vol. 549, pp. 142-163
Closed Access | Times Cited: 84
Integrated scheduling optimization of U-shaped automated container terminal under loading and unloading mode
Bowei Xu, Depei Jie, Junjun Li, et al.
Computers & Industrial Engineering (2021) Vol. 162, pp. 107695-107695
Closed Access | Times Cited: 66
A survey of fitness landscape analysis for optimization
Feng Zou, Debao Chen, Hui Liu, et al.
Neurocomputing (2022) Vol. 503, pp. 129-139
Closed Access | Times Cited: 43
Initialization of metaheuristics: comprehensive review, critical analysis, and research directions
Malek Sarhani, Stefan Voß, Raka Jovanović
International Transactions in Operational Research (2022) Vol. 30, Iss. 6, pp. 3361-3397
Open Access | Times Cited: 39
A swarm intelligence graph-based pathfinding algorithm (SIGPA) for multi-objective route planning
Charis Ntakolia, Dimitris K. Iakovidis
Computers & Operations Research (2021) Vol. 133, pp. 105358-105358
Closed Access | Times Cited: 43
A review on metaheuristic algorithms: Recent and future trends
M. Santoshi Kumari
Elsevier eBooks (2025), pp. 103-128
Closed Access
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
Feature Extraction for Recommendation of Constrained Multiobjective Evolutionary Algorithms
Kangjia Qiao, Kunjie Yu, Boyang Qu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 949-963
Closed Access | Times Cited: 23
Accelerating Two-Phase Multiobjective Evolutionary Algorithm for Electric Location-Routing Problems
Chao Wang, Rongrong Liu, Yansen Su, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9121-9136
Closed Access | Times Cited: 10
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
Hongshu Guo, Yining Ma, Zeyuan Ma, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 7, pp. 4247-4259
Open Access | Times Cited: 3
Online metaheuristic algorithm selection
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
Expert Systems with Applications (2022) Vol. 201, pp. 117058-117058
Open Access | Times Cited: 15
Dynamic fitness landscape-based adaptive mutation strategy selection mechanism for differential evolution
Zhiping Tan, Yu Tang, Huasheng Huang, et al.
Information Sciences (2022) Vol. 607, pp. 44-61
Closed Access | Times Cited: 14
Feature selection method based on quantum inspired genetic algorithm for Arabic signature verification
Ansam A. Abdulhussien, Mohammad Faidzul Nasrudin, Saad M. Darwish, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 3, pp. 141-156
Open Access | Times Cited: 8
Adaptive local landscape feature vector for problem classification and algorithm selection
Yaxin Li, Jing Liang, Kunjie Yu, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109751-109751
Closed Access | Times Cited: 12
Multiple landscape measure-based approach for dynamic optimization problems
Kangjing Li, Saber Elsayed, Ruhul Sarker, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101578-101578
Open Access | Times Cited: 2
Adaptive Autotuning Mathematical Approaches for Integrated Optimization of Automated Container Terminal
Meisu Zhong, Yongsheng Yang, Yamin Zhou, et al.
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 21
Application of hybrid GA-PSO based on intelligent control fuzzy system in the integrated scheduling in automated container terminal
Meisu Zhong, Yongsheng Yang, Yamin Zhou, et al.
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 2, pp. 1525-1538
Closed Access | Times Cited: 20
Differential Evolution With Domain Transform
Sheng Xin Zhang, Yi Nan Wen, Yu Hong Liu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1440-1455
Closed Access | Times Cited: 10
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
Dejun Xu, Kai Ye, Zimo Zheng, et al.
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 2, pp. 726-739
Open Access | Times Cited: 1
A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis
Ningning Zhu, Fuqing Zhao, Yang Yu, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101669-101669
Closed Access | Times Cited: 1
Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences
Teodoro Macias-Escobar, Laura Cruz–Reyes, Héctor J. Fraire-Huacuja, et al.
Future Generation Computer Systems (2019) Vol. 110, pp. 864-875
Closed Access | Times Cited: 13
MOEA3H: Multi-objective evolutionary algorithm based on hierarchical decision, heuristic learning and historical environment
Ziyu Hu, Zihan Li, Hao Sun, et al.
ISA Transactions (2022) Vol. 129, pp. 56-68
Closed Access | Times Cited: 6
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