Jing Liang

发表

Sparse Representation Feature for Facial Expression Recognition

Caitong Yue, Jing Liang, Boyang Qu, 2017 .

Multiobjective optimization of ethylene cracking furnace system using self-adaptive multiobjective teaching-learning-based optimization

Xin Wang, Mark Reynolds, Liang Zhao, 2018 .

Design of Yagi-Uda antennas using comprehensive learning particle swarm optimisation

Jing J. Liang, Ponnuthurai Nagaratnam Suganthan, Arokiaswami Alphones, 2005 .

Two-hidden-layer extreme learning machine based wrist vein recognition system

Caitong Yue, Jing Liang, Boyang Qu, 2017 .

Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification

Jing J. Liang, Caitong Yue, Hui Song, 2020, Natural Computing.

An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem

Jing J. Liang, Ben Niu, Qiang Lu, 2016, Int. J. Bio Inspired Comput..

Improving the performance of a FBG sensor network using a novel dynamic multi-swarm particle swarm optimizer

Ponnuthurai Nagaratnam Suganthan, Jing Liang, C. C. Chan, 2005, SPIE Optics East.

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Shuhui Li, Jikai Si, Jinfeng Gao, 2019 .

Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution

Jing J. Liang, Peng Wang, Yachao Wang, 2019, Memetic Computing.

A local-best harmony search algorithm with dynamic subpopulations

Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Jing Liang, 2010 .

Optimization of UWB Antenna Based on Particle Swarm Optimization Algorithm

Caitong Yue, Jing Liang, Boyang Qu, 2017 .

Research on the ensemble feature selection algorithm based on multimodal optimisation techniques

Jing J. Liang, Jing Liang, Yun peng Wei, 2021, Int. J. Bio Inspired Comput..

Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution

Jing J. Liang, Caitong Yue, Jing Liang, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

An aRBF surrogate-assisted neighborhood field optimizer for expensive problems

Zhou Wu, Jing Liang, Kai Zhao, 2022, Swarm Evol. Comput..

An improved brain storm optimisation algorithm for energy-efficient train operation problem

Jing J. Liang, Ponnuthurai N. Suganthan, Caitong Yue, 2021, Int. J. Bio Inspired Comput..

Evolutionary Ensemble Learning Using Multimodal Multi-objective Optimization Algorithm Based on Grid for Wind Speed Forecasting

Jing Liang, Boyang Qu, Panpan Wei, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

An improved brain storm optimisation algorithm for energy-efficient train operation problem

Ponnuthurai Nagaratnam Suganthan, Caitong Yue, Jing Liang, 2021, International Journal of Bio-Inspired Computation.

Research on the ensemble feature selection algorithm based on multimodal optimisation techniques

Jing Liang, Yi Hu, Yan-li Wang, 2021, Int. J. Bio Inspired Comput..

Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning

Jing J. Liang, Jing Liang, Boyang Qu, 2021 .