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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 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

Showing 1-25 of 113 citing articles:

Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Maziar Yazdani, Kamyar Kabirifar, Boadu Elijah Frimpong, et al.
Journal of Cleaner Production (2020) Vol. 280, pp. 124138-124138
Closed Access | Times Cited: 258
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs
Junqing Li, Mei-xian Song, Ling Wang, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 6, pp. 2425-2439
Closed Access | Times Cited: 164
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 Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop
Chao Lu, Qiao Liu, Biao Zhang, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117555-117555
Closed Access | Times Cited: 136
A multi-objective differential evolution algorithm for the distributed hybrid flowshop scheduling problem with deteriorating jobs
Xingping Sun, Yunlu Gong, Hongwei Kang, et al.
Engineering Optimization (2025), pp. 1-33
Closed Access | Times Cited: 2
Field-synchronized Digital Twin framework for production scheduling with uncertainty
Elisa Negri, Vibhor Pandhare, Laura Cattaneo, et al.
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 4, pp. 1207-1228
Open Access | Times Cited: 118
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
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
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
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
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
A simheuristic algorithm to set up starting times in the stochastic parallel flowshop problem
Sara Hatami, Laura Calvet, Victor Fernández-Viagas, et al.
Simulation Modelling Practice and Theory (2018) Vol. 86, pp. 55-71
Closed Access | Times Cited: 68
A simheuristic approach for the two-dimensional vehicle routing problem with stochastic travel times
Daniel Guimarans, Óscar Fernando Castellanos Domínguez, Javier Panadero, et al.
Simulation Modelling Practice and Theory (2018) Vol. 89, pp. 1-14
Closed Access | Times Cited: 68
Optimizing ride-sharing operations in smart sustainable cities: Challenges and the need for agile algorithms
Leandro do C. Martins, Rocío de la Torre, Canan G. Corlu, et al.
Computers & Industrial Engineering (2020) Vol. 153, pp. 107080-107080
Open Access | Times Cited: 61
A biased‐randomized iterated local search for the distributed assembly permutation flow‐shop problem
Daniele Ferone, Sara Hatami, Eliana María González-Neira, et al.
International Transactions in Operational Research (2019) Vol. 27, Iss. 3, pp. 1368-1391
Closed Access | Times Cited: 58
Speeding up computational times in simheuristics combining genetic algorithms with discrete-Event simulation
Markus Rabe, M. Deininger, Ángel A. Juan
Simulation Modelling Practice and Theory (2020) Vol. 103, pp. 102089-102089
Closed Access | Times Cited: 58
Enhancing evacuation response to extreme weather disasters using public transportation systems: a novel simheuristic approach
Maziar Yazdani, Mohammad Mojtahedi, Martin Loosemore
Journal of Computational Design and Engineering (2020) Vol. 7, Iss. 2, pp. 195-210
Open Access | Times Cited: 56
A learnheuristic approach for the team orienteering problem with aerial drone motion constraints
Christopher Bayliss, Ángel A. Juan, Christine S. M. Currie, et al.
Applied Soft Computing (2020) Vol. 92, pp. 106280-106280
Open Access | Times Cited: 54
Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem
Zhongshi Shao, Weishi Shao, Dechang Pi
Applied Intelligence (2020) Vol. 50, Iss. 12, pp. 4647-4669
Closed Access | Times Cited: 50
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine
Ying‐Ying Huang, Quan-Ke Pan, Liang Gao
International Journal of Production Research (2022) Vol. 61, Iss. 6, pp. 1755-1770
Closed Access | Times Cited: 33
An effective discrete monarch butterfly optimization algorithm for distributed blocking flow shop scheduling with an assembly machine
Songlin Du, Wenju Zhou, Dakui Wu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120113-120113
Closed Access | Times Cited: 18
A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment
Baigang Du, Shuai Han, Jun Guo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108491-108491
Closed Access | Times Cited: 6
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