Research graph
References from Multi-knowledge driven distributed heterogeneous co-evolution for fuzzy distributed assembly flowshop deadlock-free scheduling. Local targets link to admitted publications; unresolved targets remain external evidence.
Flow shop scheduling problems with assembly operations: a review and new trends
10.1080/00207543.2018.1550269 · 2019 · External reference
Minimizing the total completion time in a distributed two stage assembly system with setup times
10.1016/j.cor.2014.02.005 · 2014 · External reference
Fuzzy time series and its models
10.1016/0165-0114(93)90372-o · 1993 · External reference
Deadlock control and hybrid social spider scheduling algorithm for two-stage assembly permutation flowshop with limited buffers
10.1016/j.eswa.2023.122744 · 2024 · External reference
DAFSP with limited assembly buffers: A deadlock-free coding-decoding paradigm and hybrid cooperative co-evolutionary approach
10.1016/j.swevo.2025.102155 · 2025 · External reference
10.1287/opre.43.2.346
10.1287/opre.43.2.346 · External reference
The distributed permutation flowshop scheduling problem
10.1016/j.cor.2009.06.019 · 2010 · External reference
The distributed assembly permutation flowshop scheduling problem
10.1080/00207543.2013.807955 · 2013 · External reference
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem
10.1016/j.swevo.2024.101485 · 2024 · External reference
Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints
10.1016/j.eswa.2024.124874 · 2024 · External reference
Matrix and learning-assisted distributed dual-space memetic algorithm for customized distributed blocking flowshop scheduling problem
10.1109/tevc.2024.3519774 · 2025 · External reference
Dual-space co-evolutionary memetic algorithm for scheduling hybrid differentiation flowshop with limited buffer constraints
10.1109/tsmc.2021.3102658 · 2022 · External reference
A Petri net based deadlock avoidance policy for flexible manufacturing systems with assembly operations and multiple resource acquisition
10.1109/tii.2018.2876343 · 2019 · External reference
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
10.1109/tevc.2022.3150771 · 2022 · External reference
An effective method for solving flow shop scheduling problems with fuzzy processing times
10.1016/0360-8352(93)90265-y · 1993 · External reference
Ranking fuzzy numbers in the setting of possibility theory
10.1016/0020-0255(83)90025-7 · 1983 · External reference
A genetic algorithm for flexible job shop scheduling with fuzzy processing time
10.1080/00207540902814348 · 2010 · External reference
Parallel machine scheduling with fuzzy processing times using a robust genetic algorithm and simulation
10.1016/j.ins.2011.04.010 · 2011 · External reference
A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time
10.1109/tevc.2022.3175832 · 2023 · External reference
An iterative greedy algorithm for solving a multiobjective distributed assembly flexible job shop scheduling problem with fuzzy processing time
10.1109/tcyb.2025.3538007 · 2025 · External reference
Genetic local search for multi-objective flowshop scheduling problems
10.1016/j.ejor.2004.07.017 · 2005 · External reference
Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling
10.1109/tcyb.2023.3280175 · 2023 · External reference
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · 2016 · External reference
Elite archive-assisted adaptive memetic algorithm for a realistic hybrid differentiation flowshop scheduling problem
10.1109/tevc.2021.3094542 · 2022 · External reference
A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem
10.1109/tii.2022.3192881 · 2023 · External reference
Memetic algorithm with meta-Lamarckian learning and simplex search for distributed flexible assembly permutation flowshop scheduling problem
10.1109/access.2020.2996305 · 2020 · External reference
Dynamic and heterogeneous identity-based cooperative co-evolution for distributed lot-streaming flowshop scheduling problem
10.23919/csms.2024.0025 · 2025 · External reference
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence-dependent setup times
10.1016/j.swevo.2020.100807 · 2021 · External reference
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1016/j.asoc.2023.110022 · 2023 · External reference
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · 2016 · External reference
A regional biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem with fuzzy processing time
2024 · External reference
Knowledge transfer driven distributed memetic architecture and algorithm for distributed differentiation flowshop integrated scheduling
10.1109/tevc.2024.3486039 · 2025 · External reference
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
10.1007/s40747-021-00354-5 · 2022 · External reference
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
10.1016/j.ejor.2022.03.054 · 2023 · External reference
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
10.1016/j.eswa.2023.121050 · 2023 · External reference
and Jonrinaldi, “A selection hyper-heuristic algorithm with Q-learning mechanism
10.1016/j.asoc.2023.110815 · 2023 · External reference
Evolutionary trainer-based deep Q-network for dynamic flexible job-shop Scheduling
10.1109/tevc.2024.3367181 · 2025 · External reference
Deep reinforcement learning based parameter control in differential evolution
2019 · External reference
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm
10.1016/j.swevo.2025.102086 · 2025 · External reference
Joint buffer-aided hybrid-duplex relay selection and power allocation for secure cognitive networks with double deep Q-network
10.1109/tccn.2021.3063525 · 2021 · External reference
Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning
10.1109/tvt.2022.3169804 · 2022 · External reference
Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks
10.1109/tcomm.2022.3204846 · 2022 · External reference
On joint offloading and resource allocation: a double deep Q-network approach
10.1109/tccn.2021.3116251 · 2021 · External reference
Deep Q-learning with Q-matrix transfer learning for novel fire evacuation environment
10.1109/tsmc.2020.2967936 · 2021 · External reference
Robust Petri net controllers for flexible manufacturing systems with multitype and multiunit unreliable resources
10.1109/tsmc.2022.3201826 · 2023 · External reference
Modelling and measuring complexity of traditional and ancient technologies using Petri nets
10.1371/journal.pone.0278310 · 2022 · External reference
Improved Jaya algorithm for solving no-wait distributed scheduling problems
2025 · External reference
Smart manufacturing scheduling with edge computing using multiclass deep Q Network
10.1109/tii.2019.2908210 · 2019 · External reference
10.1016/j.fss.2006.11.011
10.1016/j.fss.2006.11.011 · External reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · 2015 · External reference
An estimation of distribution algorithm-based hyper-heuristic for the distributed assembly mixed no-idle permutation flowshop scheduling problem
10.1109/tsmc.2023.3272311 · 2023 · External reference
10.1016/j.eswa.2026.133879
10.1016/j.eswa.2026.133879 · External reference
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
10.1007/s40747-021-00354-5 · ExternalCitation · doi-reference
Ranking fuzzy numbers in the setting of possibility theory
10.1016/0020-0255(83)90025-7 · ExternalCitation · doi-reference
Fuzzy time series and its models
10.1016/0165-0114(93)90372-o · ExternalCitation · doi-reference
An effective method for solving flow shop scheduling problems with fuzzy processing times
10.1016/0360-8352(93)90265-y · ExternalCitation · doi-reference
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1016/j.asoc.2023.110022 · ExternalCitation · doi-reference
and Jonrinaldi, “A selection hyper-heuristic algorithm with Q-learning mechanism
10.1016/j.asoc.2023.110815 · ExternalCitation · doi-reference
The distributed permutation flowshop scheduling problem
10.1016/j.cor.2009.06.019 · ExternalCitation · doi-reference
Minimizing the total completion time in a distributed two stage assembly system with setup times
10.1016/j.cor.2014.02.005 · ExternalCitation · doi-reference
Genetic local search for multi-objective flowshop scheduling problems
10.1016/j.ejor.2004.07.017 · ExternalCitation · doi-reference
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
10.1016/j.ejor.2022.03.054 · ExternalCitation · doi-reference
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
10.1016/j.eswa.2023.121050 · ExternalCitation · doi-reference
Deadlock control and hybrid social spider scheduling algorithm for two-stage assembly permutation flowshop with limited buffers
10.1016/j.eswa.2023.122744 · ExternalCitation · doi-reference
Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints
10.1016/j.eswa.2024.124874 · ExternalCitation · doi-reference
10.1016/j.eswa.2026.133879
10.1016/j.eswa.2026.133879 · ExternalCitation · doi-reference
10.1016/j.fss.2006.11.011
10.1016/j.fss.2006.11.011 · ExternalCitation · doi-reference
Parallel machine scheduling with fuzzy processing times using a robust genetic algorithm and simulation
10.1016/j.ins.2011.04.010 · ExternalCitation · doi-reference
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence-dependent setup times
10.1016/j.swevo.2020.100807 · ExternalCitation · doi-reference
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem
10.1016/j.swevo.2024.101485 · ExternalCitation · doi-reference
Distributed assembly flexible job shop scheduling with dual-resource constraints via a deep Q-network based memetic algorithm
10.1016/j.swevo.2025.102086 · ExternalCitation · doi-reference
DAFSP with limited assembly buffers: A deadlock-free coding-decoding paradigm and hybrid cooperative co-evolutionary approach
10.1016/j.swevo.2025.102155 · ExternalCitation · doi-reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · ExternalCitation · doi-reference
A genetic algorithm for flexible job shop scheduling with fuzzy processing time
10.1080/00207540902814348 · ExternalCitation · doi-reference
The distributed assembly permutation flowshop scheduling problem
10.1080/00207543.2013.807955 · ExternalCitation · doi-reference
Flow shop scheduling problems with assembly operations: a review and new trends
10.1080/00207543.2018.1550269 · ExternalCitation · doi-reference
Memetic algorithm with meta-Lamarckian learning and simplex search for distributed flexible assembly permutation flowshop scheduling problem
10.1109/access.2020.2996305 · ExternalCitation · doi-reference
Joint buffer-aided hybrid-duplex relay selection and power allocation for secure cognitive networks with double deep Q-network
10.1109/tccn.2021.3063525 · ExternalCitation · doi-reference
On joint offloading and resource allocation: a double deep Q-network approach
10.1109/tccn.2021.3116251 · ExternalCitation · doi-reference
Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks
10.1109/tcomm.2022.3204846 · ExternalCitation · doi-reference
Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling
10.1109/tcyb.2023.3280175 · ExternalCitation · doi-reference
An iterative greedy algorithm for solving a multiobjective distributed assembly flexible job shop scheduling problem with fuzzy processing time
10.1109/tcyb.2025.3538007 · ExternalCitation · doi-reference
Elite archive-assisted adaptive memetic algorithm for a realistic hybrid differentiation flowshop scheduling problem
10.1109/tevc.2021.3094542 · ExternalCitation · doi-reference
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
10.1109/tevc.2022.3150771 · ExternalCitation · doi-reference
A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time
10.1109/tevc.2022.3175832 · ExternalCitation · doi-reference
Evolutionary trainer-based deep Q-network for dynamic flexible job-shop Scheduling
10.1109/tevc.2024.3367181 · ExternalCitation · doi-reference
Knowledge transfer driven distributed memetic architecture and algorithm for distributed differentiation flowshop integrated scheduling
10.1109/tevc.2024.3486039 · ExternalCitation · doi-reference
Matrix and learning-assisted distributed dual-space memetic algorithm for customized distributed blocking flowshop scheduling problem
10.1109/tevc.2024.3519774 · ExternalCitation · doi-reference
A Petri net based deadlock avoidance policy for flexible manufacturing systems with assembly operations and multiple resource acquisition
10.1109/tii.2018.2876343 · ExternalCitation · doi-reference
Smart manufacturing scheduling with edge computing using multiclass deep Q Network
10.1109/tii.2019.2908210 · ExternalCitation · doi-reference
A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem
10.1109/tii.2022.3192881 · ExternalCitation · doi-reference
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · ExternalCitation · doi-reference
Deep Q-learning with Q-matrix transfer learning for novel fire evacuation environment
10.1109/tsmc.2020.2967936 · ExternalCitation · doi-reference
Dual-space co-evolutionary memetic algorithm for scheduling hybrid differentiation flowshop with limited buffer constraints
10.1109/tsmc.2021.3102658 · ExternalCitation · doi-reference
Robust Petri net controllers for flexible manufacturing systems with multitype and multiunit unreliable resources
10.1109/tsmc.2022.3201826 · ExternalCitation · doi-reference
An estimation of distribution algorithm-based hyper-heuristic for the distributed assembly mixed no-idle permutation flowshop scheduling problem
10.1109/tsmc.2023.3272311 · ExternalCitation · doi-reference
Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning
10.1109/tvt.2022.3169804 · ExternalCitation · doi-reference
10.1287/opre.43.2.346
10.1287/opre.43.2.346 · ExternalCitation · doi-reference
Modelling and measuring complexity of traditional and ancient technologies using Petri nets
10.1371/journal.pone.0278310 · ExternalCitation · doi-reference
Dynamic and heterogeneous identity-based cooperative co-evolution for distributed lot-streaming flowshop scheduling problem
10.23919/csms.2024.0025 · ExternalCitation · doi-reference
