Abstract
No public abstract is available from the verified source records.
Lanting Hao, Meijia Guo, Lijie Zhang
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Flow shop scheduling problems with assembly operations: a review and new trends
10.1080/00207543.2018.1550269 · 2019
Minimizing the total completion time in a distributed two stage assembly system with setup times
10.1016/j.cor.2014.02.005 · 2014
Fuzzy time series and its models
10.1016/0165-0114(93)90372-o · 1993
Deadlock control and hybrid social spider scheduling algorithm for two-stage assembly permutation flowshop with limited buffers
10.1016/j.eswa.2023.122744 · 2024
DAFSP with limited assembly buffers: A deadlock-free coding-decoding paradigm and hybrid cooperative co-evolutionary approach
10.1016/j.swevo.2025.102155 · 2025
10.1287/opre.43.2.346
10.1287/opre.43.2.346
The distributed permutation flowshop scheduling problem
10.1016/j.cor.2009.06.019 · 2010
The distributed assembly permutation flowshop scheduling problem
10.1080/00207543.2013.807955 · 2013
A genetic algorithm with critical path-based variable neighborhood search for distributed assembly job shop scheduling problem
10.1016/j.swevo.2024.101485 · 2024
Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints
10.1016/j.eswa.2024.124874 · 2024
Matrix and learning-assisted distributed dual-space memetic algorithm for customized distributed blocking flowshop scheduling problem
10.1109/tevc.2024.3519774 · 2025
Dual-space co-evolutionary memetic algorithm for scheduling hybrid differentiation flowshop with limited buffer constraints
10.1109/tsmc.2021.3102658 · 2022
A Petri net based deadlock avoidance policy for flexible manufacturing systems with assembly operations and multiple resource acquisition
10.1109/tii.2018.2876343 · 2019
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
10.1109/tevc.2022.3150771 · 2022
An effective method for solving flow shop scheduling problems with fuzzy processing times
10.1016/0360-8352(93)90265-y · 1993
Ranking fuzzy numbers in the setting of possibility theory
10.1016/0020-0255(83)90025-7 · 1983
A genetic algorithm for flexible job shop scheduling with fuzzy processing time
10.1080/00207540902814348 · 2010
Parallel machine scheduling with fuzzy processing times using a robust genetic algorithm and simulation
10.1016/j.ins.2011.04.010 · 2011
A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time
10.1109/tevc.2022.3175832 · 2023
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
Genetic local search for multi-objective flowshop scheduling problems
10.1016/j.ejor.2004.07.017 · 2005
Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling
10.1109/tcyb.2023.3280175 · 2023
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · 2016
Elite archive-assisted adaptive memetic algorithm for a realistic hybrid differentiation flowshop scheduling problem
10.1109/tevc.2021.3094542 · 2022
A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem
10.1109/tii.2022.3192881 · 2023
Memetic algorithm with meta-Lamarckian learning and simplex search for distributed flexible assembly permutation flowshop scheduling problem
10.1109/access.2020.2996305 · 2020
Dynamic and heterogeneous identity-based cooperative co-evolution for distributed lot-streaming flowshop scheduling problem
10.23919/csms.2024.0025 · 2025
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
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1016/j.asoc.2023.110022 · 2023
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · 2016
A regional biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem with fuzzy processing time
2024
Knowledge transfer driven distributed memetic architecture and algorithm for distributed differentiation flowshop integrated scheduling
10.1109/tevc.2024.3486039 · 2025
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
10.1007/s40747-021-00354-5 · 2022
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
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
and Jonrinaldi, “A selection hyper-heuristic algorithm with Q-learning mechanism
10.1016/j.asoc.2023.110815 · 2023
Evolutionary trainer-based deep Q-network for dynamic flexible job-shop Scheduling
10.1109/tevc.2024.3367181 · 2025
Deep reinforcement learning based parameter control in differential evolution
2019
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
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
10.1016/j.eswa.2026.133879
10.1016/j.eswa.2026.133879 · 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 · doi-reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · doi-reference
10.1016/j.fss.2006.11.011
10.1016/j.fss.2006.11.011 · doi-reference
Smart manufacturing scheduling with edge computing using multiclass deep Q Network
10.1109/tii.2019.2908210 · doi-reference
Modelling and measuring complexity of traditional and ancient technologies using Petri nets
10.1371/journal.pone.0278310 · doi-reference
Robust Petri net controllers for flexible manufacturing systems with multitype and multiunit unreliable resources
10.1109/tsmc.2022.3201826 · doi-reference
On joint offloading and resource allocation: a double deep Q-network approach
10.1109/tccn.2021.3116251 · doi-reference
Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks
10.1109/tcomm.2022.3204846 · doi-reference
Intelligent handover algorithm for vehicle-to-network communications with double-deep Q-learning
10.1109/tvt.2022.3169804 · 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 · 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 · doi-reference
Evolutionary trainer-based deep Q-network for dynamic flexible job-shop Scheduling
10.1109/tevc.2024.3367181 · doi-reference
and Jonrinaldi, “A selection hyper-heuristic algorithm with Q-learning mechanism
10.1016/j.asoc.2023.110815 · 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 · 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 · doi-reference
A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem
10.1007/s40747-021-00354-5 · doi-reference
Knowledge transfer driven distributed memetic architecture and algorithm for distributed differentiation flowshop integrated scheduling
10.1109/tevc.2024.3486039 · doi-reference
Deep Q-learning with Q-matrix transfer learning for novel fire evacuation environment
10.1109/tsmc.2020.2967936 · doi-reference
An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1016/j.asoc.2023.110022 · 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 · doi-reference
Dynamic and heterogeneous identity-based cooperative co-evolution for distributed lot-streaming flowshop scheduling problem
10.23919/csms.2024.0025 · doi-reference
Memetic algorithm with meta-Lamarckian learning and simplex search for distributed flexible assembly permutation flowshop scheduling problem
10.1109/access.2020.2996305 · doi-reference
A population-based iterated greedy algorithm for distributed assembly no-wait flow-shop scheduling problem
10.1109/tii.2022.3192881 · doi-reference
Elite archive-assisted adaptive memetic algorithm for a realistic hybrid differentiation flowshop scheduling problem
10.1109/tevc.2021.3094542 · doi-reference
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
10.1109/tsmc.2015.2416127 · doi-reference
Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling
10.1109/tcyb.2023.3280175 · doi-reference
Genetic local search for multi-objective flowshop scheduling problems
10.1016/j.ejor.2004.07.017 · 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 · 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 · doi-reference
Parallel machine scheduling with fuzzy processing times using a robust genetic algorithm and simulation
10.1016/j.ins.2011.04.010 · doi-reference
A genetic algorithm for flexible job shop scheduling with fuzzy processing time
10.1080/00207540902814348 · doi-reference
Ranking fuzzy numbers in the setting of possibility theory
10.1016/0020-0255(83)90025-7 · doi-reference
An effective method for solving flow shop scheduling problems with fuzzy processing times
10.1016/0360-8352(93)90265-y · doi-reference
Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem
10.1109/tevc.2022.3150771 · 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 · doi-reference
Dual-space co-evolutionary memetic algorithm for scheduling hybrid differentiation flowshop with limited buffer constraints
10.1109/tsmc.2021.3102658 · doi-reference
Matrix and learning-assisted distributed dual-space memetic algorithm for customized distributed blocking flowshop scheduling problem
10.1109/tevc.2024.3519774 · 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 · 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 · doi-reference