Kang-Di Lu
Orcid: 0000-0002-0131-5085
According to our database1,
Kang-Di Lu
authored at least 26 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
MoAR-CNN: Multi-Objective Adversarially Robust Convolutional Neural Network for SAR Image Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025
CMOPEO-OP: Constrained multi-objective population extremal optimization-based optimal planning of standalone microgrids.
Swarm Evol. Comput., 2025
2024
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
DACO-BD: Data Augmentation Combinatorial Optimization-Based Backdoor Defense in Deep Neural Networks for SAR Image Classification.
IEEE Trans. Instrum. Meas., 2024
DoFA: Adversarial examples detection for SAR images by dual-objective feature attribution.
Expert Syst. Appl., 2024
Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search.
Comput. Secur., 2024
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
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
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
Neurocomputing, 2014