A Reinforcement Learning-Artificial Bee Colony algorithm for Flexible Job-shop Scheduling Problem with Lot Streaming
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[1] Keyi Xing,et al. Dual-Space Co-Evolutionary Memetic Algorithm for Scheduling Hybrid Differentiation Flowshop With Limited Buffer Constraints , 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[2] Choo Wou Onn,et al. Optimization of Markov Weighted Fuzzy Time Series Forecasting Using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) , 2022, Emerging Science Journal.
[3] Liang Gao,et al. An Effective Iterated Greedy Algorithm for a Robust Distributed Permutation Flowshop Problem With Carryover Sequence-Dependent Setup Time , 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[4] A. Deif,et al. Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective , 2022, HighTech and Innovation Journal.
[5] Liuyang Zhang,et al. Hybrid energy-efficient scheduling measures for flexible job-shop problem with variable machining speeds , 2022, Expert Syst. Appl..
[6] Xiaohui Chen,et al. Flexible job-shop scheduling and heterogeneous repairman assignment with maintenance time window and employee timetable constraints , 2021, Expert Syst. Appl..
[7] Thomas Voss,et al. Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning , 2021, Int. J. Prod. Res..
[8] Parviz Fattahi,et al. Scheduling in a flexible job shop followed by some parallel assembly stations considering lot streaming , 2021, Engineering Optimization.
[9] Fei Tao,et al. Artificial intelligence in product lifecycle management , 2021, The International Journal of Advanced Manufacturing Technology.
[10] Marcin Woźniak,et al. Red fox optimization algorithm , 2021, Expert Syst. Appl..
[11] Sang Do Noh,et al. Digital twin application with horizontal coordination for reinforcement-learning-based production control in a re-entrant job shop , 2021, Int. J. Prod. Res..
[12] Runtong Zhang,et al. New controllable processing time scheduling with subcontracting strategy for no-wait job shop problem , 2021, Int. J. Prod. Res..
[13] Jun-Ho Lee,et al. Reinforcement learning for robotic flow shop scheduling with processing time variations , 2021, Int. J. Prod. Res..
[14] Shengluo Yang,et al. Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning , 2021, Sensors.
[15] Xinyu Li,et al. A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[16] Jian-Jun Yang,et al. Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN , 2020, IEEE Access.
[17] Rui Wu,et al. An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem , 2020, Appl. Soft Comput..
[18] Shi Li,et al. A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem , 2020, Comput. Ind. Eng..
[19] Gisela Lanza,et al. Designing an adaptive production control system using reinforcement learning , 2020, Journal of Intelligent Manufacturing.
[20] Quan-Ke Pan,et al. Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs , 2020, IEEE Transactions on Cybernetics.
[21] Shu Luo,et al. Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning , 2020, Appl. Soft Comput..
[22] Ling Wang,et al. A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[23] Raymond Chiong,et al. Energy-efficient flexible flow shop scheduling with worker flexibility , 2020, Expert Syst. Appl..
[24] Hadi Abdollahzadeh Sangroudi,et al. Solving a flexible job shop lot sizing problem with shared operations using a self-adaptive COA , 2019, Int. J. Prod. Res..
[25] Juan M. Novas,et al. Production scheduling and lot streaming at flexible job-shops environments using constraint programming , 2019, Comput. Ind. Eng..
[26] Frank Werner,et al. Flexible job shop scheduling with lot streaming and sublot size optimisation , 2018, Int. J. Prod. Res..
[27] Xiaohang Yue,et al. Permutation Flow Shop Scheduling With Batch Delivery to Multiple Customers in Supply Chains , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[28] Quan-Ke Pan,et al. An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems , 2018, J. Intell. Manuf..
[29] Harish Sharma,et al. Beer froth artificial bee colony algorithm for job-shop scheduling problem , 2018, Appl. Soft Comput..
[30] Quan-Ke Pan,et al. A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations , 2018, Int. J. Prod. Res..
[31] Fantahun M. Defersha,et al. Linear programming assisted (not embedded) genetic algorithm for flexible jobshop scheduling with lot streaming , 2018, Comput. Ind. Eng..
[32] Lei Wang,et al. Distributed manufacturing resource selection strategy in cloud manufacturing , 2018 .
[33] Kejia Zhuang,et al. Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems , 2017, Comput. Ind. Eng..
[34] Jamal Shahrabi,et al. A reinforcement learning approach to parameter estimation in dynamic job shop scheduling , 2017, Comput. Ind. Eng..
[35] Ponnuthurai N. Suganthan,et al. A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint , 2015, Soft Computing.
[36] Yael Edan,et al. Collaborative reinforcement learning for a two-robot job transfer flow-shop scheduling problem , 2016 .
[37] Quan-Ke Pan,et al. A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion , 2015, Expert Syst. Appl..
[38] Quan-Ke Pan,et al. Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm , 2015, Inf. Sci..
[39] Xiao-Yan Sun,et al. A discrete artificial bee colony algorithm incorporating differential evolution for the flow-shop scheduling problem with blocking , 2015 .
[40] M. Fatih Tasgetiren,et al. A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities , 2014 .
[41] Deming Lei,et al. Scheduling job shop with lot streaming and transportation through a modified artificial bee colony , 2013 .
[42] Min Liu,et al. A hybrid artificial bee colony algorithm for the fuzzy flexible job-shop scheduling problem , 2013 .
[43] Quan-Ke Pan,et al. An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process , 2013, IEEE Transactions on Automation Science and Engineering.
[44] Shengyao Wang,et al. An effective artificial bee colony algorithm for the flexible job-shop scheduling problem , 2012 .
[45] Mehmet Fatih Tasgetiren,et al. A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem , 2011, Inf. Sci..
[46] C.-H. Liu,et al. Lot streaming for customer order scheduling problem in job shop environments , 2009, Int. J. Comput. Integr. Manuf..
[47] N. Jawahar,et al. Evolutionary algorithms for scheduling m-machine flow shop with lot streaming , 2008 .
[48] Johann L. Hurink,et al. Tabu search for the job-shop scheduling problem with multi-purpose machines , 1994 .
[49] Qianwang Deng,et al. A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm , 2022, Expert Syst. Appl..
[50] Nusrat Jahan Prottasha,et al. Support Directional Shifting Vector: A Direction Based Machine Learning Classifier , 2021, Emerging Science Journal.
[51] Yushun Fan,et al. Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning , 2021, Comput. Ind. Eng..
[52] Xin Hu,et al. Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning , 2021, Comput. Networks.
[53] Chien-Liang Liu,et al. Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems , 2020, IEEE Access.
[54] Cheng Wu,et al. A hybrid artificial bee colony algorithm for the job shop scheduling problem , 2013 .
[55] Thomas Stützle,et al. F-Race and Iterated F-Race: An Overview , 2010, Experimental Methods for the Analysis of Optimization Algorithms.
[56] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[57] S. Reiter. A System for Managing Job-Shop Production , 1966 .