The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS 2024)

Call For Papers

Call For Papers

The 6th International Conference on Data-driven Optimization of Complex Systems (DOCS 2024) warmly invites submissions from researchers, practitioners, and academics in the expansive field related to data-driven optimization of complex systems. We encourage interested authors to submit previously unpublished contributions from a broad range of areas including but not limited to the following.

The topics of interest for submission include, but are not limited to:

- Data-driven Learning

· Artificial intelligence ( AI )

· Deep learning

· Reinforcement learning

· Transfer learning

· Self-supervised learning

· Distributed and joint machine learning

· Trusted machine learning

· Generative models

· Llarge language models ( LLMs )

· Automatic verification of LLMs

· Coordination of small and large models

· AI for science and engineering

· AI for education and society

· AI for the arts

· AI for security 

- Data-driven optimization and decision-making :

· Data-driven optimization algorithms

· Bayesian optimization

· Neural combinatorial optimization

· Large-scale and multi-objective optimization

· Integration of machine learning and Optimization

· Data-driven decision paradigm

· Intelligent scheduling

· Reinforcement learning of combinatorial Optimization

· Distributed and joint optimization

· Industrial and manufacturing system analysis and decision-making

· Diffusion model optimization

· LLM-assisted optimization

- Big data analysis and application

· Big data storage and mining

· Data coordination

· Integration and processing

· Big data analysis and measurement

· Multi-source big data fusion theory and method

· Database management system

· Big data service

· Big data oriented cloud computing technology

· Privacy protection big data analysis

· Visual urban data analysis

· Intelligent transportation data analysis

· Health care data analysis

· Bioinformatics

- Data-driven modeling and control

· Learning and adaptive control

· Robust control

· Intelligent control

· Optimal control based on optimization

· Model predictive control

· Fault detection and identification

· Hybrid intelligent system

· Neural control

· Fuzzy logic control

· Networked control

· Industrial automation

· Intelligent transportation system

· Environmental monitoring and control

· Intelligent manufacturing system

· Green communication system