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:

An effective hybrid biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem
Jian Lin, Shuai Zhang
Computers & Industrial Engineering (2016) Vol. 97, pp. 128-136
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

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
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
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
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
Fei Yu, Chao Lu, Jiajun Zhou, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122434-122434
Closed Access | Times Cited: 40
The distributed permutation flow shop to minimise the total flowtime
Victor Fernández-Viagas, Paz Pérez-González, José M. Framiñán
Computers & Industrial Engineering (2018) Vol. 118, pp. 464-477
Open Access | Times Cited: 142
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
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
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
Hongyan Sang, Quan-Ke Pan, Junqing Li, et al.
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 64-73
Closed Access | Times Cited: 125
A biased-randomized simheuristic for the distributed assembly permutation flowshop problem with stochastic processing times
Eliana María González-Neira, Daniele Ferone, Sara Hatami, et al.
Simulation Modelling Practice and Theory (2017) Vol. 79, pp. 23-36
Closed Access | Times Cited: 113
Flow shop scheduling problems with assembly operations: a review and new trends
G.M. Komaki, Shaya Sheikh, Behnam Malakooti
International Journal of Production Research (2018) Vol. 57, Iss. 10, pp. 2926-2955
Closed Access | Times Cited: 111
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
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
Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks
Jingcao Cai, Rui Zhou, Deming Lei
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103540-103540
Closed Access | Times Cited: 89
An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem
Xiuli Wu, Xiajing Liu, Ning Zhao
Memetic Computing (2018) Vol. 11, Iss. 4, pp. 335-355
Closed Access | Times Cited: 86
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
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
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
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 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: 33
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
Page 1 - Next Page

Scroll to top