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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 clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
Jing Liang, Kangjia Qiao, Caitong Yue, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100788-100788
Closed Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

A Survey on Evolutionary Constrained Multiobjective Optimization
Jing Liang, Xuanxuan Ban, Kunjie Yu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 2, pp. 201-221
Open Access | Times Cited: 216
Multimodal multi-objective optimization: Comparative study of the state-of-the-art
Wenhua Li, Tao Zhang, Rui Wang, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101253-101253
Open Access | Times Cited: 82
An efficient archive-based parameter-free multi-objective Rao-DE algorithm for bi-objective optimization of truss structures
Viet-Hung Truong, Sawekchai Tangaramvong, Hoang-Anh Pham, et al.
Computers & Structures (2025) Vol. 308, pp. 107647-107647
Closed Access | Times Cited: 3
Transformer-Based Intelligent Prediction Model for Multimodal Multi-Objective Optimization
Qianlong Dang, Guanghui Zhang, Ling Wang, et al.
IEEE Computational Intelligence Magazine (2025) Vol. 20, Iss. 1, pp. 34-49
Closed Access | Times Cited: 3
Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources
Serhat Duman, Mustafa Akbel, Hamdi Tolga Kahraman
Applied Soft Computing (2021) Vol. 112, pp. 107814-107814
Closed Access | Times Cited: 71
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 474-486
Closed Access | Times Cited: 39
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: 33
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization
Yong Wang, Zhen Liu, Gai‐Ge Wang
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101232-101232
Closed Access | Times Cited: 31
Function value ranking aware differential evolution for global numerical optimization
Dong Liu, Hao He, Qiang Yang, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101282-101282
Closed Access | Times Cited: 29
A particle swarm optimization algorithm based on modified crowding distance for multimodal multi-objective problems
Da Feng, Yan Li, Jianchang Liu, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111280-111280
Closed Access | Times Cited: 14
Two-stage evolutionary algorithm with fuzzy preference indicator for multimodal multi-objective optimization
Yinghong Xie, Junhua Li, Y Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101480-101480
Closed Access | Times Cited: 14
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: 13
A multi-modal multi-objective evolutionary algorithm based on scaled niche distance
Jie Cao, Zhi Qi, Zuohan Chen, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111226-111226
Closed Access | Times Cited: 10
A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
Shihong Yin, Zhengrong Xiang
Expert Systems with Applications (2024) Vol. 256, pp. 124929-124929
Closed Access | Times Cited: 10
A grid-guided particle swarm optimizer for multimodal multi-objective problems
Boyang Qu, Guosen Li, Yan Li, et al.
Applied Soft Computing (2022) Vol. 117, pp. 108381-108381
Closed Access | Times Cited: 37
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
Hamdi Tolga Kahraman, Mustafa Akbel, Serhat Duman, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101196-101196
Closed Access | Times Cited: 35
Application of multi-objective particle swarm optimization based on short-term memory and K-means clustering in multi-modal multi-objective optimization
Yang Yang, Qianfeng Liao, Jiang Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104866-104866
Closed Access | Times Cited: 30
A niching backtracking search algorithm with adaptive local search for multimodal multiobjective optimization
Zhongbo Hu, Ting Zhou, Qinghua Su, et al.
Swarm and Evolutionary Computation (2022) Vol. 69, pp. 101031-101031
Closed Access | Times Cited: 29
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: 8
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization
Jing Liang, Hongyu Lin, Caitong Yue, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1458-1475
Closed Access | Times Cited: 8
A dynamic-speciation-based differential evolution with ring topology for constrained multimodal multi-objective optimization
Guoqing Li, Weiwei Zhang, Caitong Yue, et al.
Information Sciences (2024) Vol. 677, pp. 120879-120879
Closed Access | Times Cited: 8
Multi-Robot Task Allocation Using Multimodal Multi-Objective Evolutionary Algorithm Based on Deep Reinforcement Learning
Zhenhua Miao, Wentao Huang, Yilian Zhang, et al.
Journal of Shanghai Jiaotong University (Science) (2024) Vol. 29, Iss. 3, pp. 377-387
Closed Access | Times Cited: 7
Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm
Gaurav Gangil, Sunil Kumar Goyal, Amit Saraswat
Expert Systems with Applications (2024) Vol. 249, pp. 123819-123819
Closed Access | Times Cited: 7
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy
Wanliang Wang, Guoqing Li, Yule Wang, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 100976-100976
Closed Access | Times Cited: 41
Handling multimodal multi-objective problems through self-organizing quantum-inspired particle swarm optimization
Guoqing Li, Wanliang Wang, Weiwei Zhang, et al.
Information Sciences (2021) Vol. 577, pp. 510-540
Closed Access | Times Cited: 33
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