Yibing Li
Orcid: 0000-0002-6532-6461Affiliations:
- Hubei Digital Manufacturing Key Laboratory, Wuhan, China
- Wuhan University of Technology, School of Mechanical and Electronic Engineering, China (PhD 2008)
According to our database1,
Yibing Li
authored at least 28 papers
between 2012 and 2026.
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Bibliography
2026
A green and efficient disassembly line balancing with human-robot collaboration and destructive disassembly.
Robotics Comput. Integr. Manuf., 2026
2025
Dynamic scheduling for flexible job shop under machine breakdown using Improved Double Deep Q-network.
Expert Syst. Appl., 2025
Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing.
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
Categorized attention based hierarchical-agents reinforcement learning for multi-objective dynamic job shop scheduling problem with machine deterioration.
Appl. Soft Comput., 2025
2024
Dynamic Balancing of U-Shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, April, 2024
A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment.
Eng. Appl. Artif. Intell., 2024
A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem.
Appl. Soft Comput., 2024
2023
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode.
Comput. Ind. Eng., December, 2023
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions.
Eng. Appl. Artif. Intell., November, 2023
A Reinforcement Learning-Artificial Bee Colony algorithm for Flexible Job-shop Scheduling Problem with Lot Streaming.
Appl. Soft Comput., October, 2023
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings.
Adv. Eng. Informatics, April, 2023
Robotics Comput. Integr. Manuf., 2023
Solving distributed low carbon scheduling problem for large complex equipment manufacturing using an improved hybrid artificial bee colony algorithm.
J. Intell. Fuzzy Syst., 2023
2022
Multi-objective optimisation of stochastic hybrid production line balancing including assembly and disassembly tasks.
Int. J. Prod. Res., 2022
A hybrid imperialist competitive algorithm for energy-efficient flexible job shop scheduling problem with variable-size sublots.
Comput. Ind. Eng., 2022
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem.
Appl. Soft Comput., 2022
2021
A multi-stage group decision making for strategic supplier selection based on prospect theory with interval-valued q-rung orthopair fuzzy linguistic sets.
J. Intell. Fuzzy Syst., 2021
Energy-cost-aware resource-constrained project scheduling for complex product system with activity splitting and recombining.
Expert Syst. Appl., 2021
Mass personalization-oriented integrated optimization of production task splitting and scheduling in a multi-stage flexible assembly shop.
Comput. Ind. Eng., 2021
2020
An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem.
Appl. Soft Comput., 2020
2019
An outsourcing service selection method using ANN and SFLA algorithms for cement equipment manufacturing enterprises in cloud manufacturing.
J. Ambient Intell. Humaniz. Comput., 2019
Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop.
Appl. Soft Comput., 2019
A Benefit Conflict Resolution Approach for Production Planning Energy Optimization of Group Manufacturing.
IEEE Access, 2019
Fault Diagnosis of Rotating Machinery Based on Combination of Deep Belief Network and One-dimensional Convolutional Neural Network.
IEEE Access, 2019
2018
An Efficient Meta-Heuristic for Multi-Objective Flexible Job Shop Inverse Scheduling Problem.
IEEE Access, 2018
2015
A Pareto supplier selection algorithm for minimum the life cycle cost of complex product system.
Expert Syst. Appl., 2015
2012
Process planning for collaborative product development with CD-DSM in optoelectronic enterprises.
Adv. Eng. Informatics, 2012