Liang Gao

Research interests

Publications

• A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence

  Journal of Manufacturing Systems · 2021 · 10.1016/j.jmsy.2021.05.008

• Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

  IEEE Transactions on Industrial Informatics · 2020 · 10.1109/tii.2020.3043734

• An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems

  IEEE Transactions on Cybernetics · 2020 · 10.1109/tcyb.2020.3041494

• Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

  IEEE Transactions on Industrial Informatics · 2020 · 10.1109/tii.2020.3043734

• A New Transfer Learning Based on VGG-19 Network for Fault Diagnosis

  · 2019 · 10.1109/cscwd.2019.8791884

• A transfer convolutional neural network for fault diagnosis based on ResNet-50

  Neural Computing and Applications · 2019 · https://doi.org/10.1007/s00521-019-04097-w

• Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

  Expert Systems with Applications · 2019 · https://doi.org/10.1016/j.eswa.2019.01.062

• Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization

  Energy Conversion and Management · 2019 · 10.1016/j.enconman.2019.02.048

• Review on flexible job shop scheduling

  IET Collaborative Intelligent Manufacturing · 2019 · 10.1049/iet-cim.2018.0009

• A semi-supervised convolutional neural network-based method for steel surface defect recognition

  Robotics and Computer-Integrated Manufacturing · 2019 · 10.1016/j.rcim.2019.101825

• A New Transfer Learning Based on VGG-19 Network for Fault Diagnosis

  · 2019 · 10.1109/cscwd.2019.8791884

• A semi-supervised convolutional neural network-based method for steel surface defect recognition

  Robotics and Computer-Integrated Manufacturing · 2019 · 10.1016/j.rcim.2019.101825

• Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

  Journal of Manufacturing Systems · 2018 · 10.1016/j.jmsy.2018.04.005

• Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems

  Applied Mathematical Modelling · 2018 · 10.1016/j.apm.2018.06.036

• A surrogate thermal modeling and parametric optimization of battery pack with air cooling for EVs

  Applied Thermal Engineering · 2018 · 10.1016/j.applthermaleng.2018.10.060

• Topology optimization for functionally graded cellular composites with metamaterials by level sets

  Computer Methods in Applied Mechanics and Engineering · 2017 · 10.1016/j.cma.2017.09.008

• A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

  IEEE Transactions on Systems Man and Cybernetics Systems · 2017 · https://doi.org/10.1109/tsmc.2017.2754287

• A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

  IEEE Transactions on Industrial Electronics · 2017 · 10.1109/tie.2017.2774777

• Topology optimization for concurrent design of structures with multi-patch microstructures by level sets

  Computer Methods in Applied Mechanics and Engineering · 2017 · 10.1016/j.cma.2017.11.033

• Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm

  Journal of Cleaner Production · 2017 · https://doi.org/10.1016/j.jclepro.2017.01.011

• A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry

  Engineering Applications of Artificial Intelligence · 2016 · 10.1016/j.engappai.2016.10.013

• An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

  International Journal of Production Economics · 2016 · https://doi.org/10.1016/j.ijpe.2016.01.016

• An improved fruit fly optimization algorithm for continuous function optimization problems

  Knowledge-Based Systems · 2014 · 10.1016/j.knosys.2014.02.021

• An effective genetic algorithm for the flexible job-shop scheduling problem

  Expert Systems with Applications · 2010 · 10.1016/j.eswa.2010.08.145

• A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem

  The International Journal of Advanced Manufacturing Technology · 2010 · 10.1007/s00170-010-2642-2

• Cellular particle swarm optimization

  Information Sciences · 2010 · 10.1016/j.ins.2010.05.025

• Integration of process planning and scheduling—A modified genetic algorithm-based approach

  Computers & Operations Research · 2008 · 10.1016/j.cor.2008.07.006

• An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

  Computers & Industrial Engineering · 2008 · 10.1016/j.cie.2008.07.021

• Integration of process planning and scheduling—A modified genetic algorithm-based approach

  Computers & Operations Research · 2008 · 10.1016/j.cor.2008.07.006

Current projects

No projects listed.