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The 8th International Conference on Data-driven Optimization of Complex Systems (DOCS 2026)
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Paper Submission Deadline

June 20, 2026

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Notification of Acceptance

July 15, 2026

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Camera-Ready Submission

July 22, 2026  

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Early Bird Registration

July 20, 2026

·About DOCS 2026


Welcome to the official website of The 8th International Conference on Data-driven Optimization of Complex Systems (DOCS 2026).

The 8th International Conference on Data-driven Optimization of Complex Systems (DOCS 2026) warmly invite 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 We encourage interested authors to submit previously unpublished contributions from a broad range of including but not limited to the following.

● Data-driven Learning: Deep learning, reinforcement learning, transfer learning, self-supervised learning, distributed and federated machine learning, trustworthy machine learning, generative models, large language models (LLMs), automated verification of LLMs, coordination between small and large models, AI for science and engineering, AI for education and society, AI for art, secure AI;

● 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 for combinatorial optimization, distributed and federated optimization, industrial and manufacturing system analysis, and decision-making;diffusion models for optimization, LLM-assisted optimization;

● Data-driven Modeling and Control: Learning and adaptive control, robust control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, green communication systems;

● Big Data Analysis and Application: Big data storage and mining, data coordination, integration and processing, big data analytics and metrics, theory and methods of multi-source big data fusion, data base management systems, big data service, big data-oriented cloud computing technology, privacy preserving big data analysis, visual city data analysis, intelligent transportation data analysis, healthcare data analysis, bioinformatics.


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Publication

· Submission & Publication

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(ISBN: The ISBN number is currently in the application process.)

All papers, both invited and contributed, the accepted papers, will be published by IEEE and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 6 pages. 

The use of artificial intelligence (AI)-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. 

Please send the full paper(word+pdf) to Submission System:

Submission  (English)

All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

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单位


·Organizer

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·Co-organizers

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·Technical Sponsor

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The IEEE Ethics Reporting link: https://secure.ethicspoint.com/domain/media/en/gui/20410/index.html


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The 8th International Conference on Data-driven Optimization of Complex Systems (DOCS 2026)    http://www.docs2026.com/