(Include but not limited to)
Track 1: Operations Research Theory and Optimization Methods
Linear Programming and Nonlinear Programming
Integer Programming and Combinatorial Optimization
Multi-objective Optimization and Multi-criteria Decision Making
Stochastic Optimization and Robust Optimization
Dynamic Programming and Optimal Control
Network Optimization and Graph Theory Algorithms
Queuing Theory and Random Service Systems
Inventory Theory and Supply Chain Optimization
Game Theory and Equilibrium Analysis
Convex Optimization and Non-convex Optimization Theory
Large-scale Optimization and Decomposition Algorithms
Meta-heuristic Algorithms and Evolutionary Computation
Simulated Annealing, Tabu Search and Ant Colony Algorithm
Particle Swarm Optimization and Differential Evolution
Constraint Satisfaction and Constraint Programming
Operations Research Modeling and Decision Analysis
Queuing Networks and System Performance Optimization
Track 2: Artificial Intelligence and Intelligent Optimization Algorithms
Machine Learning and Deep Learning Optimization Methods
Reinforcement Learning and Sequential Decision Optimization
Neural Combinatorial Optimization and Learning-Based Algorithms
Application of Deep Reinforcement Learning in Scheduling
Graph Neural Networks and Combinatorial Optimization
Large Language Models and Optimization Problem Solving
Intelligent Algorithms and Heuristic Search
Genetic Algorithm and Genetic Programming
Immune Algorithm and Artificial Bee Colony Algorithm
Fuzzy Optimization and Intelligent Decision Making
Multi-agent Systems and Distributed Optimization
Federated Learning and Distributed Optimization
Online Learning and Online Optimization
Bayesian Optimization and Hyperparameter Tuning
Automatic Machine Learning and Algorithm Configuration
Interpretable AI and Optimization Decision Transparency
Quantum Computing and Quantum Optimization Algorithms
Track 3: Optimization Algorithms and Cross-Applications
Supply Chain and Inventory Optimization
Production Scheduling and Manufacturing Optimization
Energy System Optimization and Grid Scheduling
Financial Portfolio Optimization and Risk Management
Medical Resource Scheduling and Health Management Optimization
Network Resource Allocation and Communication Optimization
Cloud Computing and Edge Computing Task Scheduling
Smart City and Urban Governance Optimization
Machine Learning Model Training Optimization
Unmanned Aerial Vehicle Path Planning and Task Allocation
Robot Motion Planning and Scheduling Optimization
Data-driven Optimization and Decision Making
Simulation Optimization and Digital Twin
Multidisciplinary Design Optimization and Engineering Applications
......