Renquan Lu

发表

Soft-Voting-Based SVM-KNN Algorithm and its Application in Big Data Modeling

Hongru Ren, Zhihong Wang, Renquan Lu, 2021 .

Hierarchical multi-swarm cooperative teaching–learning-based optimization for global optimization

De-bao Chen, Peng Wang, Renquan Lu, 2016, Soft Computing.

Community detection in complex networks: Multi-objective discrete backtracking search optimization algorithm with decomposition

Feng Zou, Debao Chen, Renquan Lu, 2017, Appl. Soft Comput..

Multi-objective optimization of community detection using discrete teaching-learning-based optimization with decomposition

Feng Zou, Debao Chen, Jiangtao Wang, 2016, Inf. Sci..

Inverse modelling-based multi-objective evolutionary algorithm with decomposition for community detection in complex networks

Renquan Lu, De-Shuang Huang, Feng Zou, 2019, Physica A: Statistical Mechanics and its Applications.

A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization

Feng Zou, Debao Chen, Renquan Lu, 2018, Swarm Evol. Comput..

Backtracking search optimization algorithm based on knowledge learning

Feng Zou, Debao Chen, Renquan Lu, 2019, Inf. Sci..

Learning backtracking search optimisation algorithm and its application

Renquan Lu, Feng Zou, Peng Wang, 2017, Inf. Sci..

Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space

Xianpeng Wang, Renquan Lu, Hangyu Lou, 2023, Swarm Evol. Comput..

Teaching–learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling

Feng Zou, Debao Chen, Renquan Lu, 2018, Soft Comput..

DTUAV: a novel cloud–based digital twin system for unmanned aerial vehicles

Renquan Lu, Yuanlin Yang, Wei Meng, 2022, Simul..

Teaching–learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling

De-bao Chen, Renquan Lu, Feng Zou, 2017, Soft Computing.

Deep Reinforcement Learning on Autonomous Driving Policy With Auxiliary Critic Network

Yuanqing Wu, Renquan Lu, Xiang Liu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

A method for detecting high-frequency oscillations using semi-supervised k-means and mean shift clustering

Bo Sun, Hao Wu, Renquan Lu, 2019, Neurocomputing.

A Wide-Deep-Sequence Model-Based Quality Prediction Method in Industrial Process Analysis

Renquan Lu, Lei Ren, Xiaokang Wang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Multi-step prediction of photovoltaic power based on two-stage decomposition and BILSTM

Renquan Lu, Wenshuai Lin, Bin Zhang, 2022, Neurocomputing.

A Quality Prediction Hybrid Model of Manufacturing Process Based on Genetic Programming

Hongru Ren, Renquan Lu, Zhijian Cheng, 2022, 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS).

Stacking Based LightGBM-CatBoost-RandomForest Algorithm and Its Application in Big Data Modeling

Hongru Ren, Zhihong Wang, Renquan Lu, 2022, 2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS).

An enhanced colliding bodies optimization and its application

Yajun Liu, Debao Chen, Renquan Lu, 2019, Artificial Intelligence Review.

A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training

Peng Wang, Feng Zou, Debao Chen, 2017, Neurocomputing.

Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization

Feng Zou, Debao Chen, Renquan Lu, 2016, Neurocomputing.

Manufacturing Big Data Modeling Algorithm Based on GM (1,1) - LSTM and Its Application in Sales Forecasting

Hongru Ren, Renquan Lu, Yinren Long, 2023, 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS).

Design and Application of Workshop Production Scheduling Strategy Based on Manufacturing Big Data

Bin Wu, Hongru Ren, Renquan Lu, 2023, 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS).

Manufacturing Big Data Modeling Based on KNN-LR Algorithm and Its Application in Product Design Business Domain

Hongru Ren, Renquan Lu, Shen Cheng, 2021, 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).

An Experience Information Teaching–Learning-Based Optimization for Global Optimization

Feng Zou, Debao Chen, Renquan Lu, 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization

Renquan Lu, Qingzheng Xu, Feng Zou, 2020, Swarm Evol. Comput..

Short-term load forecasting based on EEMD-Adaboost-BP

Renquan Lu, Hongyi Li, Wenshuai Lin, 2022, Systems Science & Control Engineering.

Short-Term Forecasting for Photovoltaic Power Based on Successive Variational Modal Decomposition and Cascaded Deep Learning Model

Renquan Lu, Wenshuai Lin, Bin Zhang, 2023, 2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE).