A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem

An MILP Model for Energy-Conscious Flexible Job Shop Problem with Transportation and Sequence-Dependent Setup Times

(2023) Leilei Meng et al.   Sustainability

A multi-AGV fast path planning method based on improved CBS algorithm in workshops

(2023) Zhuo Zhou et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

A Monte-Carlo tree search algorithm for the flexible job-shop scheduling in manufacturing systems

(2022) M. Saqlain et al.   Flexible Services and Manufacturing Journal

Job shop rescheduling with rework and reconditioning in Industry 4.0: an event-driven approach

(2022) Gonzalo Mejía et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Deep reinforcement learning for dynamic scheduling of a flexible job shop

(2022) Renke Liu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival

(2022) Jingru Chang et al.   Processes

Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning

(2022) Xiaohan Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

(2022) Gai-Ge Wang et al.   IEEE Transactions on Industrial Informatics

Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems

(2022) Yi Zhang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework

(2022) Alejandro del Real Torres et al.   Applied Sciences-Basel

Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem

(2022) Yu Du et al.   IEEE Transactions on Emerging Topics in Computational Intelligence

A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

(2021) Jinghe Sun et al.   COMPUTERS & OPERATIONS RESEARCH

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

(2021) Junyoung Park et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect

(2021) Zhao Peng et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning

(2021) Shu Luo et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A Deep Reinforcement Learning Based Solution for Flexible Job Shop Scheduling Problem

(2021) B. A. Han et al.   International Journal of Simulation Modelling

Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network

(2021) Yuxin Li et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem

(2021) Jun-Qing Li et al.   IEEE Transactions on Automation Science and Engineering

Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning

(2021) Shu Luo et al.   IEEE Transactions on Automation Science and Engineering

Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning

(2020) Shu Luo   APPLIED SOFT COMPUTING

Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network

(2020) Liang Hu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Smart Manufacturing Scheduling With Edge Computing Using Multiclass Deep Q Network

(2019) Chun-Cheng Lin et al.   IEEE Transactions on Industrial Informatics

Energy-efficient scheduling for multi-objective flexible job shops with variable processing speeds by grey wolf optimization

(2019) Shu Luo et al.   JOURNAL OF CLEANER PRODUCTION

MILP models for energy-aware flexible job shop scheduling problem

(2018) Leilei Meng et al.   JOURNAL OF CLEANER PRODUCTION

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

(2016) Xinyu Li et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

A new immune multi-agent system for the flexible job shop scheduling problem

(2015) Wei Xiong et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem

(2015) Maroua Nouiri et al.   JOURNAL OF INTELLIGENT MANUFACTURING