Kang-Di Lu

Orcid: 0000-0002-0131-5085

According to our database1, Kang-Di Lu authored at least 20 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems.
Comput. Secur., September, 2023

IFA-EO: An improved firefly algorithm hybridized with extremal optimization for continuous unconstrained optimization problems.
Soft Comput., March, 2023

2022
Genetic Algorithm-Based Cumulative Sum Method for Jamming Attack Detection of Cyber-Physical Power Systems.
IEEE Trans. Instrum. Meas., 2022

Constrained-Differential-Evolution-Based Stealthy Sparse Cyber-Attack and Countermeasure in an AC Smart Grid.
IEEE Trans. Ind. Informatics, 2022

Multi-Objective False Data Injection Attacks of Cyber-Physical Power Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

An Ensemble Learning-Based Cyber-Attacks Detection Method of Cyber-Physical Power Systems.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Evolutionary Deep Belief Network for Cyber-Attack Detection in Industrial Automation and Control System.
IEEE Trans. Ind. Informatics, 2021

An improved bat algorithm hybridized with extremal optimization and Boltzmann selection.
Expert Syst. Appl., 2021

2020
EnLSTM-WPEO: Short-Term Traffic Flow Prediction by Ensemble LSTM, NNCT Weight Integration, and Population Extremal Optimization.
IEEE Trans. Veh. Technol., 2020

An Adaptive Resilient Load Frequency Controller for Smart Grids With DoS Attacks.
IEEE Trans. Veh. Technol., 2020

An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition.
Neurocomputing, 2020

Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures.
Complex., 2020

2019
An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability.
Swarm Evol. Comput., 2019

A many-objective population extremal optimization algorithm with an adaptive hybrid mutation operation.
Inf. Sci., 2019

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM.
IEEE Internet Things J., 2019

2018
Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method.
J. Frankl. Inst., 2018

2016
A Real-coded Extremal Optimization Method with Multi-non-uniform Mutation for the Design of Fractional Order PID Controllers.
Inf. Technol. Control., 2016

A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems.
Neurocomputing, 2016

2015
Design of multivariable PID controllers using real-coded population-based extremal optimization.
Neurocomputing, 2015

2014
Binary-coded extremal optimization for the design of PID controllers.
Neurocomputing, 2014


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