Xixing Li
Orcid: 0000-0002-8309-8001
According to our database1,
Xixing Li
authored at least 32 papers
between 2017 and 2025.
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Bibliography
2025
Hybrid artificial bee colony algorithm with Q-learning for distributed heterogeneous flexible job shop scheduling problem considering machine preventive maintenance.
Swarm Evol. Comput., 2025
Dynamic scheduling for flexible job shop under machine breakdown using Improved Double Deep Q-network.
Expert Syst. Appl., 2025
Improved discrete particle swarm optimization algorithm for solving fuzzy flexible job shop machines and automated guided vehicles fusion scheduling problem.
Eng. Appl. Artif. Intell., 2025
ASIRDetector: Scheduling-driven, asynchronous execution to discover asynchronous improper releases bug in linux kernel.
Comput. Secur., 2025
Research on the balancing problem of human-robot collaborative assembly line in SMEs considering ergonomic risk and cost.
Comput. Ind. Eng., 2025
Categorized attention based hierarchical-agents reinforcement learning for multi-objective dynamic job shop scheduling problem with machine deterioration.
Appl. Soft Comput., 2025
2024
Harden-IoT: hardening the EoL devices by intercepting the attack vector for future B5G/6G IoT.
Wirel. Networks, November, 2024
SHFuzz: Service handler-aware fuzzing for detecting multi-type vulnerabilities in embedded devices.
Comput. Secur., March, 2024
Knowl. Based Syst., 2024
Expert Syst. Appl., 2024
A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem.
Comput. Oper. Res., 2024
A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process.
Appl. Soft Comput., 2024
2023
A Novel Model for Dynamic Manufacturing Service Collaboration on Industrial Internet.
IEEE Trans. Ind. Informatics, December, 2023
An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing.
Comput. Ind. Eng., February, 2023
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023
A comprehensive survey of vulnerability detection method towards Linux-based IoT devices.
Proceedings of the 2nd International Conference on Networks, 2023
2022
Solving a multi-objective distributed scheduling problem for building material equipment group enterprises by measuring quality indicator with a product gene evaluation approach.
Comput. Ind. Eng., 2022
2021
A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset.
Sensors, 2021
SCANet: A Spatial and Channel Attention based Network for Partial-to-Partial Point Cloud Registration.
Pattern Recognit. Lett., 2021
A novel quality comprehensive evaluation method based on product gene for solving the manufacturing quality tracking problem of large equipment.
Comput. Ind. Eng., 2021
Mass personalization-oriented integrated optimization of production task splitting and scheduling in a multi-stage flexible assembly shop.
Comput. Ind. Eng., 2021
2020
Integrated Optimization Approach of Hybrid Flow-Shop Scheduling Based on Process Set.
IEEE Access, 2020
2019
A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory.
Symmetry, 2019
IEEE Access, 2019
A Benefit Conflict Resolution Approach for Production Planning Energy Optimization of Group Manufacturing.
IEEE Access, 2019
IEEE Access, 2019
2018
Approach of Solving Dual Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problem Based on MOEA/D.
Int. J. Online Eng., 2018
An Efficient Meta-Heuristic for Multi-Objective Flexible Job Shop Inverse Scheduling Problem.
IEEE Access, 2018
2017
An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm.
J. Intell. Manuf., 2017
Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems.
Comput. Ind. Eng., 2017