The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems
Hanxiao Li, Kaizhou Gao, Pei-Yong Duan, Jun-Qing Li and Le Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 53(5) 2684 (2023) https://doi.org/10.1109/TSMC.2022.3219380
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani and Leandro dos Santos Coelho Computers & Industrial Engineering 166 107956 (2022) https://doi.org/10.1016/j.cie.2022.107956
A computational efficient optimization of flow shop scheduling problems
A Novel Hybrid Multi-Verse Optimizer Algorithm for Energy-Efficient Permutation Flow Shop Scheduling Problem
Dana Marsetiya Utama, M. Faisal Ibrahim, Danang Setiya Wijaya, Dian Setiya Widodo and Meri Dines Primayesti Journal of Physics: Conference Series 2394(1) 012006 (2022) https://doi.org/10.1088/1742-6596/2394/1/012006
Multimodal Optimization of Permutation Flow-Shop Scheduling Problems Using a Clustering-Genetic-Algorithm-Based Approach
A Local Search-Based Generalized Normal Distribution Algorithm for Permutation Flow Shop Scheduling
Mohamed Abdel-Basset, Reda Mohamed, Mohamed Abouhawwash, Victor Chang and S. Askar Applied Sciences 11(11) 4837 (2021) https://doi.org/10.3390/app11114837
Advances in Computational Collective Intelligence
Madiha Harrabi, Olfa Belkahla Driss and Khaled Ghedira Communications in Computer and Information Science, Advances in Computational Collective Intelligence 1463 86 (2021) https://doi.org/10.1007/978-3-030-88113-9_7
A Simple and Effective Approach for Tackling the Permutation Flow Shop Scheduling Problem
Mohamed Abdel-Basset, Reda Mohamed, Mohamed Abouhawwash, Ripon K. Chakrabortty and Michael J. Ryan Mathematics 9(3) 270 (2021) https://doi.org/10.3390/math9030270
Fast Evolutionary Algorithm for Flow Shop Scheduling Problems
A Robust Expected Makespan for Permutation Flow Shop Scheduling Depending on Machine Failure Rate
Ghazwan Alsoufi, Manal Abdulkareem Zeidan, Lamyaa Jasim Mohammed and Abdellah Salhi International Journal of Mathematical, Engineering and Management Sciences 6(5) 1345 (2021) https://doi.org/10.33889/IJMEMS.2021.6.5.081
Minimizing Number of Tardy Jobs in Flow Shop Scheduling Using A Hybrid Whale Optimization Algorithm
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18
Madiha Harrabi, Olfa Belkahla Driss and Khaled Ghedira Advances in Intelligent Systems and Computing, International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 771 489 (2019) https://doi.org/10.1007/978-3-319-94120-2_47
An improved water wave optimization algorithm with the single wave mechanism for the no-wait flow-shop scheduling problem
A scheduling procedure for a flow shop–like knowledgeable manufacturing cell with self-evolutionary features
Hong-Sen Yan and Wen-Chao Li Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 230(12) 2296 (2016) https://doi.org/10.1177/0954405415612372
Studying the effect of server side-constraints on the makespan of the no-wait flow-shop problem with sequence-dependent set-up times
Refined ranking relations for selection of solutions in multi objective metaheuristics
Ruby L.V. Moritz, Enrico Reich, Maik Schwarz, Matthias Bernt and Martin Middendorf European Journal of Operational Research 243(2) 454 (2015) https://doi.org/10.1016/j.ejor.2014.10.044
New hard benchmark for flowshop scheduling problems minimising makespan
Ong Andre Wahyu Riyanto and Budi Santosa Communications in Computer and Information Science, Intelligence in the Era of Big Data 516 89 (2015) https://doi.org/10.1007/978-3-662-46742-8_8
A particle swarm optimisation for the no-wait flow shop problem with due date constraints
Particle swarm optimization for scheduling batch processing machines in a permutation flowshop
Purushothaman Damodaran, Anantha Gangadhara Rao and Siddharth Mestry The International Journal of Advanced Manufacturing Technology 64(5-8) 989 (2013) https://doi.org/10.1007/s00170-012-4037-z
A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling
A HYBRID HARMONY SEARCH ALGORITHM FOR THE NO-WAIT FLOW-SHOP SCHEDULING PROBLEMS
KAI-ZHOU GAO, QUAN-KE PAN, JUN-QING LI, YU-TING WANG and JING LIANG Asia-Pacific Journal of Operational Research 29(02) 1250012 (2012) https://doi.org/10.1142/S0217595912500121
A genetic algorithm and particle swarm optimization for no-wait flow shop problem with separable setup times and makespan criterion
Hamed Samarghandi and Tarek Y. ElMekkawy The International Journal of Advanced Manufacturing Technology 61(9-12) 1101 (2012) https://doi.org/10.1007/s00170-011-3766-8
Clustered enhanced differential evolution for the blocking flow shop scheduling problem
Donald Davendra, Ivan Zelinka, Magdalena Bialic-Davendra, Roman Senkerik and Roman Jasek Central European Journal of Operations Research 20(4) 679 (2012) https://doi.org/10.1007/s10100-011-0198-3
Dominance rules for the parallel machine total weighted tardiness scheduling problem with release dates
An improved genetic algorithm for robust permutation flowshop scheduling
Qiong Liu, Saif Ullah and Chaoyong Zhang The International Journal of Advanced Manufacturing Technology 56(1-4) 345 (2011) https://doi.org/10.1007/s00170-010-3149-6
A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers
Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization
Donald Davendra and Godfrey Onwubolu Studies in Computational Intelligence, Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization 175 35 (2009) https://doi.org/10.1007/978-3-540-92151-6_3
Natural Intelligence for Scheduling, Planning and Packing Problems
Mansour Eddaly, Bassem Jarboui, Patrick Siarry and Abdelwaheb Rebaï Studies in Computational Intelligence, Natural Intelligence for Scheduling, Planning and Packing Problems 250 89 (2009) https://doi.org/10.1007/978-3-642-04039-9_4
A DE-based approach to no-wait flow-shop scheduling