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Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

IEEE transactions on fuzzy systems, 2020-12, Vol.28 (12), p.3265-3275

2020

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Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns

Computers & operations research, 2020-11, Vol.123, p.105031, Article 105031

2020

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Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

International journal of production research, 2019-01, Vol.57 (2), p.411-432

2019

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

International journal of production economics, 2016-04, Vol.174, p.93-110

2016

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Multi-objective genetic algorithm for energy-efficient job shop scheduling

International journal of production research, 2015-12, Vol.53 (23), p.7071-7089

2015

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Deep reinforcement learning for dynamic scheduling of a flexible job shop

International journal of production research, 2022-07, Vol.60 (13), p.4049-4069

2022

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Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

Robotics and computer-integrated manufacturing, 2019-10, Vol.59, p.143-157

2019

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A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms

Computers & operations research, 2016-09, Vol.73, p.56-66

2016

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

Robotics and computer-integrated manufacturing, 2022-04, Vol.74, p.102283, Article 102283

2022

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

IEEE transactions on automation science and engineering, 2022-10, Vol.19 (4), p.3020-3038

2022

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A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

IEEE transactions on cybernetics, 2019-03, Vol.49 (3), p.1097-1109

2019

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A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

IEEE/CAA journal of automatica sinica, 2019-07, Vol.6 (4), p.904-916

2019

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Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling

IEEE transactions on evolutionary computation, 2024-02, Vol.28 (1), p.147-167

2024

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Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

IEEE transactions on evolutionary computation, 2021-08, Vol.25 (4), p.651-665

2021

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A survey of job shop scheduling problem: The types and models

Computers & operations research, 2022-06, Vol.142, p.105731, Article 105731

2022

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Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

International journal of production research, 2021-12, Vol.59 (23), p.7216-7231

2021

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A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption

International journal of production research, 2017-06, Vol.55 (11), p.3126-3140

2017

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Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem

IEEE transactions on fuzzy systems, 2021-11, Vol.29 (11), p.3234-3248

2021

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Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

IEEE transactions on industrial informatics, 2021-10, Vol.17 (10), p.6687-6696

2021

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A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility

International journal of production research, 2020-07, Vol.58 (14), p.4406-4420

2020

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A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules

Evolutionary computation, 2019-09, Vol.27 (3), p.467-496

2019

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

International journal of production research, 2021-06, Vol.59 (11), p.3360-3377

2021

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Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming

International journal of production research, 2020-05, Vol.58 (9), p.2561-2580

2020

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A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5695-5709

2024

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Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

Computers & operations research, 2020-11, Vol.123, p.105020, Article 105020

2020

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Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns

Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

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

Multi-objective genetic algorithm for energy-efficient job shop scheduling

Deep reinforcement learning for dynamic scheduling of a flexible job shop

Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms

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

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

A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling

Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

A survey of job shop scheduling problem: The types and models

Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption

Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem

Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules

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

Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming

A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times

Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

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