(The following topics include but are not limited to)
Topic 1: Algorithms
genetic algorithm
Genetic programming
Adaptive optimization based on evolutionary strategy
Evolutionary Algorithm in Multi Objective Optimization
immune algorithm
multi-agent system
Evolutionary Computing and Machine Learning
differential evolution
Evolutionary Strategy
particle swarm optimization
Biologically inspired algorithm
Natural Inspired Algorithm
Topic 2: Neural Networks
Deep Neural Network
convolutional neural network
Generative Adversarial Networks
recurrent neural networks
Neural Network Structure
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Analysis and research of neural networks in fields such as healthcare, finance, and energy
Topic Three: Digital Twins
Development of Digital Twin Technology
Real time simulation and modeling
Interactive digital twin platform
Application of Data Mining and Analysis
The Application of Digital Twins in Industry
System level digital twin architecture
Feedback Control and Optimization
The combination of digital twins and the Internet of Things
Engineering Practice of Combining Reality and Reality
Digital Twin and Artificial Intelligence
Lifecycle Management and Digital Twin
Cloud Manufacturing and Digital Twin
The Challenge of Digital Twins
The application of digital twins in the field of transportation
Precision Manufacturing and Digital Twin