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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:

A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem
Jian Lin, Zhou-Jing Wang, Xiaodong Li
Swarm and Evolutionary Computation (2017) Vol. 36, pp. 124-135
Closed Access | Times Cited: 131

Showing 26-50 of 131 citing articles:

An artificial bee colony with division for distributed unrelated parallel machine scheduling with preventive maintenance
Deming Lei, Meiyao Liu
Computers & Industrial Engineering (2020) Vol. 141, pp. 106320-106320
Closed Access | Times Cited: 83
An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system
Junqing Li, Shunchang Bai, Peiyong Duan, et al.
International Journal of Production Research (2019) Vol. 57, Iss. 22, pp. 6922-6942
Closed Access | Times Cited: 80
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
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times
Hongbo Song, Jian Lin
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100807-100807
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
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling
Jingjing Wang, Ling Wang
Computers & Industrial Engineering (2022) Vol. 168, pp. 108126-108126
Closed Access | Times Cited: 64
Semiconductor final testing scheduling using Q-learning based hyper-heuristic
Jian Lin, Yang-Yuan Li, Hongbo Song
Expert Systems with Applications (2021) Vol. 187, pp. 115978-115978
Closed Access | Times Cited: 61
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
Haoxiang Qin, Yuyan Han, Yiping Liu, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117256-117256
Closed Access | Times Cited: 61
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem
Fuqing Zhao, Zesong Xu, Ling Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6692-6705
Closed Access | Times Cited: 61
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
Yuanzhen Li, Quan-Ke Pan, Junqing Li, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100874-100874
Closed Access | Times Cited: 55
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem
Zi-Qi Zhang, Rong Hu, Bin Qian, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116484-116484
Closed Access | Times Cited: 42
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
Guanghui Zhang, Bo Liu, Ling Wang, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 5, pp. 1043-1057
Closed Access | Times Cited: 39
An Improved Farmland Fertility Algorithm with Hyper-Heuristic Approach for Solving Travelling Salesman Problem
Farhad Soleimanian Gharehchopogh, Benyamın Abdollahzadeh, Bahman Arasteh
Computer Modeling in Engineering & Sciences (2022) Vol. 135, Iss. 3, pp. 1981-2006
Open Access | Times Cited: 37
An Estimation of Distribution Algorithm-Based Hyper-Heuristic for the Distributed Assembly Mixed No-Idle Permutation Flowshop Scheduling Problem
Fuqing Zhao, Bo Zhu, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5626-5637
Closed Access | Times Cited: 34
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
Hongbo Song, You-Hong Yang, Jian Lin, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110022-110022
Closed Access | Times Cited: 26
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110695-110695
Closed Access | Times Cited: 21
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem
Shichen Tian, Chunjiang Zhang, Jiaxin Fan, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101485-101485
Closed Access | Times Cited: 10
A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time
Zhongshi Shao, Weishi Shao, Jianrui Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107818-107818
Closed Access | Times Cited: 9
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12186-12217
Closed Access | Times Cited: 9
Solving distributed two-stage hybrid flowshop scheduling using a shuffled frog-leaping algorithm with memeplex grouping
Deming Lei, Tian Wang
Engineering Optimization (2019) Vol. 52, Iss. 9, pp. 1461-1474
Closed Access | Times Cited: 69
Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation
Bryar A. Hassan, Tarik A. Rashid
Applied Mathematics and Computation (2019) Vol. 370, pp. 124919-124919
Open Access | Times Cited: 69
An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling
Deming Lei, Yue Yuan, Jingcao Cai, et al.
International Journal of Production Research (2019) Vol. 58, Iss. 2, pp. 597-614
Closed Access | Times Cited: 68
A Hybrid Pareto-Based Tabu Search for the Distributed Flexible Job Shop Scheduling Problem With E/T Criteria
Junqiang Li, Peiyong Duan, Jinde Cao, et al.
IEEE Access (2018) Vol. 6, pp. 58883-58897
Open Access | Times Cited: 62
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem
Zi-Qi Zhang, Bin Qian, Rong Hu, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100785-100785
Closed Access | Times Cited: 62
Solving Distributed Hybrid Flowshop Scheduling Problems by a Hybrid Brain Storm Optimization Algorithm
Jianhua Hao, Junqing Li, Yu Du, et al.
IEEE Access (2019) Vol. 7, pp. 66879-66894
Open Access | Times Cited: 60

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