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1
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold
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A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

Lei, Deming ; Li, Ming ; Wang, Ling

IEEE transactions on cybernetics, 2019-03, Vol.49 (3), p.1097-1109 [Peer Reviewed Journal]

United States: IEEE

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2
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism
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Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

Gao, Da ; Wang, Gai-Ge ; Pedrycz, Witold

IEEE transactions on fuzzy systems, 2020-12, Vol.28 (12), p.3265-3275 [Peer Reviewed Journal]

IEEE

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3
Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling
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Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling

Zhang, Fangfang ; Mei, Yi ; Nguyen, Su ; Tan, Kay Chen ; Zhang, Mengjie

IEEE transactions on evolutionary computation, 2023-10, Vol.27 (5), p.1-1 [Peer Reviewed Journal]

IEEE

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4
Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints
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Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints

Fan, Huali ; Xiong, Hegen ; Goh, Mark

Computers & operations research, 2021-10, Vol.134, p.105401, Article 105401 [Peer Reviewed Journal]

New York: Elsevier Ltd

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5
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems
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A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

Gao, Kaizhou ; Cao, Zhiguang ; Zhang, Le ; Chen, Zhenghua ; Han, Yuyan ; Pan, Quanke

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

Piscataway: Chinese Association of Automation (CAA)

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6
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
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Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

Zhang, Fangfang ; Mei, Yi ; Nguyen, Su ; Zhang, Mengjie ; Tan, Kay Chen

IEEE transactions on evolutionary computation, 2021-08, Vol.25 (4), p.651-665 [Peer Reviewed Journal]

IEEE

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7
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm
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Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

Wang, Gai-Ge ; Gao, Da ; Pedrycz, Witold

IEEE transactions on industrial informatics, 2022-12, Vol.18 (12), p.8519-8528

Piscataway: IEEE

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8
Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem
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Enhanced Equilibrium Optimizer algorithm applied in job shop scheduling problem

Sun, Ying ; Pan, Jeng-Shyang ; Hu, Pei ; Chu, Shu-Chuan

Journal of intelligent manufacturing, 2023-04, Vol.34 (4), p.1639-1665 [Peer Reviewed Journal]

New York: Springer US

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9
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning
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Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Park, Junyoung ; Chun, Jaehyeong ; Kim, Sang Hun ; Kim, Youngkook ; Park, Jinkyoo

International journal of production research, 2021-06, Vol.59 (11), p.3360-3377 [Peer Reviewed Journal]

London: Taylor & Francis

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10
Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms
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Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms

Chang, Hao-Chin ; Liu, Tung-Kuan

Journal of intelligent manufacturing, 2017-12, Vol.28 (8), p.1973-1986 [Peer Reviewed Journal]

New York: Springer US

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