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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:

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems
Qiqi Liu, Yaochu Jin, Martin Heiderich, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 2698-2711
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts
Yicun Hua, Qiqi Liu, Kuangrong Hao, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 8, Iss. 2, pp. 303-318
Closed Access | Times Cited: 226
Multi-strategy competitive-cooperative co-evolutionary algorithm and its application
Xiangbing Zhou, Xing Cai, Hua Zhang, et al.
Information Sciences (2023) Vol. 635, pp. 328-344
Closed Access | Times Cited: 80
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 51
A simple two-stage evolutionary algorithm for constrained multi-objective optimization
Fei Ming, Wenyin Gong, Huixiang Zhen, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107263-107263
Closed Access | Times Cited: 59
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]
Fei Ming, Wenyin Gong, Liang Gao
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 2, pp. 18-30
Closed Access | Times Cited: 36
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems
Mingcheng Zuo, Dunwei Gong, Yan Wang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 193-207
Open Access | Times Cited: 32
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts
Xin Li, Xiaoli Li, Kang Wang, et al.
Information Sciences (2023) Vol. 626, pp. 658-693
Closed Access | Times Cited: 22
Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts
Zichen Wei, Hui Wang, Shuai Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101539-101539
Closed Access | Times Cited: 12
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization
Fei Ming, Wenyin Gong, Yaochu Jin
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101541-101541
Closed Access | Times Cited: 11
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization
Cong Gao, Wenfeng Li, Lijun He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108127-108127
Closed Access | Times Cited: 9
A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming
Zhenzu Bai, Haiyin Zhou, Jianmai Shi, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101572-101572
Closed Access | Times Cited: 8
Dominance relation selection and angle-based distribution evaluation for many-objective evolutionary algorithm
Shengqing Zhou, Yiru Dai, Zhihao Chen
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101515-101515
Closed Access | Times Cited: 7
A Survey on Knee-Oriented Multiobjective Evolutionary Optimization
Guo Yu, Lianbo Ma, Yaochu Jin, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1452-1472
Closed Access | Times Cited: 36
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 12, pp. 7783-7793
Closed Access | Times Cited: 19
A many-objective evolutionary algorithm based on reference vector guided selection and two diversity and convergence enhancement strategies
Lei Yang, Yuanye Zhang, Jiale Cao, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111369-111369
Closed Access | Times Cited: 7
An adaptive reference vector guided many-objective optimization algorithm based on the pareto front density estimation
Ying Xu, Fusen Li, Huan Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101601-101601
Closed Access | Times Cited: 7
Evolutionary multimodal multiobjective optimization guided by growing neural gas
Yiping Liu, Ling Zhang, Xiangxiang Zeng, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101500-101500
Closed Access | Times Cited: 6
A multi/many-objective evolutionary algorithm based on normal-boundary intersection direction
Qinghua Gu, Yu Chen, Dan Wang, et al.
Information Sciences (2025), pp. 121837-121837
Closed Access
Adaptive Normal-Boundary Intersection Directions for Evolutionary Many-Objective Optimization with Complex Pareto Fronts
Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello
Lecture notes in computer science (2025), pp. 132-147
Closed Access
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems
Qiqi Liu, Yaochu Jin, Martin Heiderich, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108197-108197
Closed Access | Times Cited: 22
ACDB-EA: Adaptive convergence-diversity balanced evolutionary algorithm for many-objective optimization
Yu Zhou, Sheng Li, Witold Pedrycz, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101145-101145
Closed Access | Times Cited: 22
A many-objective optimization evolutionary algorithm based on hyper-dominance degree
Zhe Liu, Fei Han, Qing-Hua Ling, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101411-101411
Closed Access | Times Cited: 15
Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization
Genggeng Liu, Zhenyu Pei, Nengxian Liu, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101410-101410
Closed Access | Times Cited: 15
Surrogate-Assisted Many-Objective Optimization of Building Energy Management
Qiqi Liu, Felix Lanfermann, Tobias Rodemann, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 4, pp. 14-28
Closed Access | Times Cited: 13
A dual-population-based evolutionary algorithm for multi-objective optimization problems with irregular Pareto fronts
Xiaoyu Zhong, Xiangjuan Yao, Dunwei Gong, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101566-101566
Closed Access | Times Cited: 4
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