Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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: 60

Showing 1-25 of 60 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: 211
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time
Rui Li, Wenyin Gong, Chao Lu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 610-620
Closed Access | Times Cited: 110
Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization
Kangjia Qiao, Kunjie Yu, Boyang Qu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 642-656
Closed Access | Times Cited: 106
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems
Fei Ming, Wenyin Gong, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 70, pp. 101055-101055
Closed Access | Times Cited: 73
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
Rui Li, Wenyin Gong, Ling Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 74, pp. 101139-101139
Closed Access | Times Cited: 70
Collaborative path planning of multi-unmanned surface vehicles via multi-stage constrained multi-objective optimization
Shihong Yin, Ningjun Xu, Zhangsong Shi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103115-103115
Closed Access | Times Cited: 5
A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems
Fei Ming, Wenyin Gong, Dongcheng Li, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1313-1326
Closed Access | Times Cited: 54
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints
Ruiqing Sun, Juan Zou, Yuan Liu, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1207-1219
Open Access | Times Cited: 51
Evolutionary Multitasking with Global and Local Auxiliary Tasks for Constrained Multi-Objective Optimization
Kangjia Qiao, Jing Liang, Zhongyao Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 10, pp. 1951-1964
Closed Access | Times Cited: 41
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm
Kangjia Qiao, Jing Liang, Kunjie Yu, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 965-979
Closed Access | Times Cited: 34
Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
Xiaobing Yu, Pingping Xu, Feng Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107817-107817
Closed Access | Times Cited: 10
Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Yuanyuan Hao, Chunliang Zhao, Yiqin Zhang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111998-111998
Open Access | Times Cited: 9
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time
Feng Chen, Cong Luo, Wenyin Gong, et al.
Complex System Modeling and Simulation (2024) Vol. 4, Iss. 1, pp. 82-108
Open Access | Times Cited: 8
Multi-phase constrained multi-objective optimization via heterogeneous transfer
Huiting Li, Yaochu Jin, Ran Cheng
Information Sciences (2025) Vol. 700, pp. 121836-121836
Closed Access | Times Cited: 1
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems
Kangjia Qiao, Zhaolin Chen, Boyang Qu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121707-121707
Closed Access | Times Cited: 18
A dual-population and multi-stage based constrained multi-objective evolutionary
M. Sri Srinivasa Raju, Saykat Dutta, Rammohan Mallipeddi, et al.
Information Sciences (2022) Vol. 615, pp. 557-577
Closed Access | Times Cited: 27
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: 25
Multistate-Constrained Multiobjective Differential Evolution Algorithm With Variable Neighborhood Strategy
Ying Hou, Yilin Wu, Honggui Han
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4459-4472
Closed Access | Times Cited: 24
Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments
Qingda Chen, Jinliang Ding, Gary G. Yen, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 3, pp. 763-777
Closed Access | Times Cited: 13
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints
Yajie Zhang, Hao Jiang, Ye Tian, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 2956-2968
Closed Access | Times Cited: 13
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages
Xiaoyu Zhong, Xiangjuan Yao, Kangjia Qiao, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 5, pp. 3474-3488
Closed Access | Times Cited: 5
A constrained multi-objective evolutionary algorithm with Pareto estimation via neural network
Zongli Liu, Peng Zhao, Jie Cao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121718-121718
Closed Access | Times Cited: 12
Multiobjective Differential Evolution Algorithm Balancing Multiple Stakeholders for Low-Carbon Order Scheduling in E-Waste Recycling
Ying Hou, Yilin Wu, Honggui Han
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1912-1925
Closed Access | Times Cited: 11
Evolutionary constrained multi-objective optimization: a review
Jing Liang, Hongyu Lin, Caitong Yue, et al.
Vicinagearth. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Optimization of Built-In Self-Test test chain configuration in 2.5D Integrated Circuits Using Constrained Multi-Objective Evolutionary Algorithm
Zhe Yang, Libao Deng, Chunlei Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109876-109876
Closed Access
Page 1 - Next Page

Scroll to top