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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:

Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
Quan-Ke Pan, Liang Gao, Xinyu Li, et al.
Applied Soft Computing (2019) Vol. 81, pp. 105492-105492
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion
Fuqing Zhao, Lexi Zhao, Ling Wang, et al.
Expert Systems with Applications (2020) Vol. 160, pp. 113678-113678
Closed Access | Times Cited: 171
An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems
Quan-Ke Pan, Liang Gao, Ling Wang
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 7, pp. 5999-6012
Closed Access | Times Cited: 162
Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial
Ziyan Zhao, MengChu Zhou, Shixin Liu
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 3, pp. 1941-1959
Closed Access | Times Cited: 153
A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem
Fuqing Zhao, Lixin Zhang, Jie Cao, et al.
Computers & Industrial Engineering (2020) Vol. 153, pp. 107082-107082
Closed Access | Times Cited: 147
Distributed scheduling problems in intelligent manufacturing systems
Yaping Fu, Yushuang Hou, Zifan Wang, et al.
Tsinghua Science & Technology (2021) Vol. 26, Iss. 5, pp. 625-645
Open Access | Times Cited: 141
Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem
Weishi Shao, Zhongshi Shao, Dechang Pi
Knowledge-Based Systems (2020) Vol. 194, pp. 105527-105527
Closed Access | Times Cited: 137
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm
Yuxia Pan, Kaizhou Gao, Zhiwu Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3818-3828
Closed Access | Times Cited: 91
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II
Yi-Jian Wang, Gai‐Ge Wang, Fang-Ming Tian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105977-105977
Closed Access | Times Cited: 52
A review and classification on distributed permutation flowshop scheduling problems
Paz Pérez-González, José M. Framiñán
European Journal of Operational Research (2023) Vol. 312, Iss. 1, pp. 1-21
Open Access | Times Cited: 49
An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem
Chao Lu, Jun Zheng, Lvjiang Yin, et al.
Engineering Optimization (2023) Vol. 56, Iss. 5, pp. 792-810
Closed Access | Times Cited: 48
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
Hui Yu, Kaizhou Gao, Zhenfang Ma, et al.
Swarm and Evolutionary Computation (2023) Vol. 80, pp. 101335-101335
Closed Access | Times Cited: 40
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Jiang‐Ping Huang, Quan-Ke Pan, Liang Gao
Swarm and Evolutionary Computation (2020) Vol. 59, pp. 100742-100742
Closed Access | Times Cited: 116
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
Jiang‐Ping Huang, Quan-Ke Pan, Zhonghua Miao, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 97, pp. 104016-104016
Closed Access | Times Cited: 112
A hybrid multi-objective artificial bee colony algorithm for flexible task scheduling problems in cloud computing system
Junqing Li, Yunqi Han
Cluster Computing (2019) Vol. 23, Iss. 4, pp. 2483-2499
Closed Access | Times Cited: 108
Production planning and scheduling in multi-factory production networks: a systematic literature review
Jacob Lohmer, Rainer Lasch
International Journal of Production Research (2020) Vol. 59, Iss. 7, pp. 2028-2054
Open Access | Times Cited: 106
A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time
Tao Meng, Quan-Ke Pan
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100804-100804
Closed Access | Times Cited: 104
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem
Ying‐Ying Huang, Quan-Ke Pan, Jiang‐Ping Huang, et al.
Computers & Industrial Engineering (2020) Vol. 152, pp. 107021-107021
Closed Access | Times Cited: 100
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance
Jiayang Mao, Quan-Ke Pan, Zhonghua Miao, et al.
Expert Systems with Applications (2020) Vol. 169, pp. 114495-114495
Closed Access | Times Cited: 99
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations
Yu Du, Junqing Li, Chao Luo, et al.
Swarm and Evolutionary Computation (2021) Vol. 62, pp. 100861-100861
Closed Access | Times Cited: 99
Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots
Junqing Li, Xin-Rui Tao, Baoxian Jia, et al.
Swarm and Evolutionary Computation (2019) Vol. 52, pp. 100600-100600
Closed Access | Times Cited: 83
A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem
Haoran Li, Xinyu Li, Liang Gao
Applied Soft Computing (2020) Vol. 100, pp. 106946-106946
Closed Access | Times Cited: 78
An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance
Jing Wang, Deming Lei, Jingcao Cai
Applied Soft Computing (2021) Vol. 117, pp. 108371-108371
Closed Access | Times Cited: 78
Meta-heuristic algorithm for solving vehicle routing problems with time windows and synchronized visit constraints in prefabricated systems
Junqing Li, Yunqi Han, Peiyong Duan, et al.
Journal of Cleaner Production (2019) Vol. 250, pp. 119464-119464
Closed Access | Times Cited: 77
The distributed assembly permutation flowshop scheduling problem with flexible assembly and batch delivery
Shengluo Yang, Zhigang Xu
International Journal of Production Research (2020) Vol. 59, Iss. 13, pp. 4053-4071
Closed Access | Times Cited: 76
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm
Chao Lu, Liang Gao, Wenyin Gong, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100803-100803
Closed Access | Times Cited: 73
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