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).
A novel deep reinforcement learning‐based algorithm for multi‐objective energy‐efficient flow‐shop scheduling
Peng Liang, Pengfei Xiao, Zeya Li, Min Luo and Chaoyong Zhang IET Collaborative Intelligent Manufacturing 6(4) (2024) https://doi.org/10.1049/cim2.12121
Automatic Translation of Blocking Flexible Job Shop Scheduling Problems to Automata Using the Supervisory Control Theory
Daniel Sarsur, Patrícia N. Pena and Ricardo H. C. Takahashi Journal of Control, Automation and Electrical Systems 35(1) 12 (2024) https://doi.org/10.1007/s40313-023-01045-x
Hybrid grey wolf optimizer for solving permutation flow shop scheduling problem
Shuilin Chen and Jianguo Zheng Concurrency and Computation: Practice and Experience 36(5) (2024) https://doi.org/10.1002/cpe.7942
AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study
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
A computational efficient optimization of flow shop scheduling problems
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
Dana Marsetiya Utama 2453 020040 (2022) https://doi.org/10.1063/5.0094254
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
A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags
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
Multimodal Optimization of Permutation Flow-Shop Scheduling Problems Using a Clustering-Genetic-Algorithm-Based Approach
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
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
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
Flow shop scheduling decisions through Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS)
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
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
A particle swarm optimisation for the no-wait flow shop problem with due date constraints
A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling
Ruochen Liu, Chenlin Ma, Wenping Ma, Yangyang Li, L. D. S. Coelho and Y. Yin The Scientific World Journal 2013(1) (2013) https://doi.org/10.1155/2013/387194
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
Scheduling flow shops with blocking using a discrete self-organising migrating algorithm
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
A meta-heuristic approach for solving the no-wait flow-shop problem
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
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 multi-objective flow shop scheduling with resource-dependent processing times: trade-off between makespan and cost of resources
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
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