Shixin Liu

Orcid: 0000-0002-3404-9297

According to our database1, Shixin Liu authored at least 62 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
BO-SMOTE: A Novel Bayesian-Optimization-Based Synthetic Minority Oversampling Technique.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

A Salp Swarm Algorithm for Parallel Disassembly Line Balancing Considering Workers With Government Benefits.
IEEE Trans. Comput. Soc. Syst., February, 2024

Multiobjective Multiverse Optimizer for Multirobotic U-Shaped Disassembly Line Balancing Problems.
IEEE Trans. Artif. Intell., February, 2024

Reinforcement learning for Hybrid Disassembly Line Balancing Problems.
Neurocomputing, February, 2024

2023
Semisupervised Boundary Detection for Aluminum Grains Combined With Transfer Learning and Region Growing.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Multiobjective U-Shaped Disassembly Line Balancing Problem Considering Human Fatigue Index and an Efficient Solution.
IEEE Trans. Comput. Soc. Syst., August, 2023

Beta network for boundary detection under nondeterministic labels.
Knowl. Based Syst., April, 2023

Optimization Design and Trajectory Error Compensation of a Facade-Adaptive Wall-Climbing Robot.
Symmetry, February, 2023

An integer programming formulation and iterative scheme algorithm for the block relocation problem.
J. Control. Decis., 2023

A robust optimization approach to steel grade design problem subject to uncertain yield and demand.
Int. J. Prod. Res., 2023

Hybrid Disassembly Line Optimization with Reinforcement Learning.
Proceedings of the 32nd Wireless and Optical Communications Conference, 2023

Energy-efficient Hot-rolling Scheduling of High-quality Steel Products.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Carousel Storage and Picking Scheduling Issues: A Review.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
Valid Inequality and Variable Fixation for Unrestricted Block Relocation Problems.
IEEE Trans. Intell. Transp. Syst., 2022

Iterated Greedy Algorithms for Flow-Shop Scheduling Problems: A Tutorial.
IEEE Trans Autom. Sci. Eng., 2022

Heuristic Scheduling of Batch Production Processes Based on Petri Nets and Iterated Greedy Algorithms.
IEEE Trans Autom. Sci. Eng., 2022

Stochastic Hybrid Discrete Grey Wolf Optimizer for Multi-Objective Disassembly Sequencing and Line Balancing Planning in Disassembling Multiple Products.
IEEE Trans Autom. Sci. Eng., 2022

Weakly Supervised Segmentation Loss Based on Graph Cuts and Superpixel Algorithm.
Neural Process. Lett., 2022

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems.
Inf. Sci., 2022

An Improved Multi-objective Multi-verse Optimization Algorithm for Multifunctional Robotic Parallel Disassembly Line Balancing Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Moth-flame Optimizer for Multi-product Humanrobot Collaborative Parallel Disassembly Line Balancing Problem.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Conflict-Based Search and Improvement Strategies for Solving a New Lexicographic Bi-Objective Multi-Agent Path Finding Problem.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-objective Discrete Bat Optimizer for Parallel Disassembly Line Balancing Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-Process Logistics Planning for Cost Minimization and Workload Balance in Steel Production Systems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Constraint Programming for Modeling and Solving a Hybrid Flow Shop Scheduling Problem.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Data-driven Methods for Quality Prediction of Aluminum Alloy Ingots.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Constraint Programming for a Novel Integrated Optimization of Blocking Job Shop Scheduling and Variable-Speed Transfer Robot Assignment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021
Prior Mask R-CNN Based on Graph Cuts Loss and Size Input for Precipitation Measurement.
IEEE Trans. Instrum. Meas., 2021

A Branch and Price Algorithm for Crane Assignment and Scheduling in Slab Yard.
IEEE Trans Autom. Sci. Eng., 2021

Multiresource-Constrained Selective Disassembly With Maximal Profit and Minimal Energy Consumption.
IEEE Trans Autom. Sci. Eng., 2021

Online learning method based on support vector machine for metallographic image segmentation.
Signal Image Video Process., 2021

Column generation algorithms for mother plate design in steel plants.
OR Spectr., 2021

Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem.
IEEE CAA J. Autom. Sinica, 2021

Very Large-Scale Neighborhood Search for Steel Hot Rolling Scheduling Problem With Slab Stack Shuffling Considerations.
IEEE Access, 2021

Semi-Supervised Learning Framework for Aluminum Alloy Metallographic Image Segmentation.
IEEE Access, 2021

Multi-objective Optimizer with Collaborative Resource Allocation Strategy for U-shaped Stochastic Disassembly Line Balancing Problem.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Multi-objective Discrete Chemical Reaction Optimization Algorithm for Multiple-product Partial U-shaped Disassembly Line Balancing Problem.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Multi-objective Discrete Migrating Birds Optimizer Solving Multiple-product Partial U-shaped Disassembly Line Balancing Problem.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Multi-Objective Multi-Verse Optimizer for Multi-Product Partial U-Shaped Disassembly Line Balancing Problem.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

2020
Lexicographic Multiobjective Scatter Search for the Optimization of Sequence-Dependent Selective Disassembly Subject to Multiresource Constraints.
IEEE Trans. Cybern., 2020

Decomposition Method for New Single-Machine Scheduling Problems From Steel Production Systems.
IEEE Trans Autom. Sci. Eng., 2020

A Study on the Block Relocation Problem: Lower Bound Derivations and Strong Formulations.
IEEE Trans Autom. Sci. Eng., 2020

Framework of Specific Description Generation for Aluminum Alloy Metallographic Image Based on Visual and Language Information Fusion.
Symmetry, 2020

Microstructure Instance Segmentation from Aluminum Alloy Metallographic Image Using Different Loss Functions.
Symmetry, 2020

Semi-Supervised Learning Method of U-Net Deep Learning Network for Blood Vessel Segmentation in Retinal Images.
Symmetry, 2020

Grain Boundary Detection Based on Multi-Level Loss From Feature and Adversarial Learning.
IEEE Access, 2020

Data-driven Surplus Material Prediction in Steel Coil Production.
Proceedings of the 29th Wireless and Optical Communications Conference, 2020

A New Bi-Objective Batch Scheduling Problem: NSGA-II-and-Local-Search-Based Memetic Algorithms.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-objective Discrete Grey Wolf Optimizer for Solving Stochastic Multi-objective Disassembly Sequencing and Line Balancing Problem.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-objective Discrete Brainstorming Optimizer for Stochastic Disassembly Line Balancing Problem Subject to Disassembly Failure.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Stochastic Sequence-dependent Multi-objective Disassembly Line Balancing Model Subject to Task Failure and Resource Constraint via Multi-objective Cuckoo Search.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-Objective Discrete Migratory Bird Optimizer for Stochastic Disassembly Line Balancing Problem.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Intelligent Scheduling for a Rolling Process in Steel Production Systems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019
Aluminum alloy microstructural segmentation method based on simple noniterative clustering and adaptive density-based spatial clustering of applications with noise.
J. Electronic Imaging, 2019

Aluminum alloy microstructural segmentation in micrograph with hierarchical parameter transfer learning method.
J. Electronic Imaging, 2019

Routing and Spectrum Assignment Algorithm based on Spectrum Fragment Assessment of Arriving Services.
Proceedings of the 28th Wireless and Optical Communications Conference, 2019

Iterated Greedy Algorithm for Solving a New Single Machine Scheduling Problem.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018
Dual-Objective Program and Scatter Search for the Optimization of Disassembly Sequences Subject to Multiresource Constraints.
IEEE Trans Autom. Sci. Eng., 2018

Modified cuckoo search algorithm to solve economic power dispatch optimization problems.
IEEE CAA J. Autom. Sinica, 2018

An Improved Binary Cuckoo Search Algorithm for Solving Unit Commitment Problems: Methodological Description.
IEEE Access, 2018

2016
Disassembly Sequence Optimization for Large-Scale Products With Multiresource Constraints Using Scatter Search and Petri Nets.
IEEE Trans. Cybern., 2016


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