In order to build a bridge for exchanges and cooperation, discover outstanding talents, stimulate innovative thinking, and solve practical problems, the first "Liaohe Cup" data-driven complex system optimization algorithm competition is grandly launched, and elites from all walks of life are sincerely invited to participate and participate in this grand event.
01 · Competition introduction
The first "Liaohe Cup" data-driven complex system optimization algorithm competition"Build a communication platform, discover outstanding talents, stimulate innovative thinking, and solve real problems"As the core concept, we are committed to promoting the cutting-edge development of data-driven complex system optimization.
Settings for this competitionWorkshop dynamic scheduling problemandpath planning problemTwo tracks. The preliminary competition will conduct online platform evaluation, and the two tracks will use Zhongke Yunyi intelligent production scheduling platform and Xide solver for online evaluation respectively; the final will set up an on-site defense session, and expert consultants will conduct a comprehensive review of the completeness, professionalism and innovation of the plan. The winner will receive an authoritative certificate issued by the IEEE Computational Intelligence Society and win generous prizes.
02 · Sponsored by Liaohe Laboratory
Shenyang Institute of Automation, Chinese Academy of Sciences
Institute of Software, Chinese Academy of Sciences
Westlake University
Huazhong University of Science and Technology
03 · Guidance unit IEEE Computational Intelligence Society 04 · Operation unit 05 · Competition consultant
Zeng Peng:Deputy director of the Shenyang Institute of Automation, Chinese Academy of Sciences, doctoral supervisor, director of the Chinese Society of Automation, chairman of the Edge Computing Committee, and executive deputy director of Liaoning Liaohe Laboratory. Mainly engaged in research on industrial networks and intelligent manufacturing technology. It has won 6 scientific and technological awards including the second prize of the National Technological Invention Award and the first prize of the National Standard Innovation Contribution Award.
Jin Yaochu:Academician of the European Academy of Sciences, IEEE Fellow, nationally appointed expert, and Yangtze River Scholar Chair Professor. Chairman of the IEEE Computational Intelligence Society and editor-in-chief of "Complex and Intelligent Systems". Currently, he is the Chair Professor of Artificial Intelligence at Westlake University, Director of the Department of Artificial Intelligence, and Head of the "Trusted and General Artificial Intelligence Laboratory". He has served as the "Humboldt Chair Professor of Artificial Intelligence" at the University of Bielefeld in Germany, the "Distinguished Professor of Computational Intelligence" at the University of Surrey in the United Kingdom, and the "Finnish Distinguished Professor" at the Finnish National Agency for Technology and Innovation. He has long been engaged in research on the theory, algorithms and engineering applications of artificial intelligence and computational intelligence. He has successively presided over cooperative innovation team projects and key projects of the European Union, the British EPSRC, the German Federal Ministry of Education and Research, and the China Natural Science Foundation. He has published more than 500 papers, been cited more than 59,000 times by Google Scholar, and has an h-index of 119. Since 2019, he has been continuously selected as Clarivate Analytics’ “Global Highly Cited Scientists” list. Won the 2025 "IEEE Frank Rosenblatt Award".
Highlight:Vice President of Huazhong University of Science and Technology, Director of the National Intelligent Design and CNC Technology Innovation Center. In 2018, he won the National Science Fund for Outstanding Youth, the first Scientific Exploration Award, and IET Fellow. He has been selected as a Global Highly Cited Scientist for four consecutive years. He has published 17 monographs, more than 700 SCI papers, 27,000 citations in Web of Science, and an H-index of 82. 90 authorized invention patents and 28 software copyrights. He has won 1 second-class National Science and Technology Progress Award and 2 first-class Natural Science Awards from the Ministry of Education. He is currently the co-editor-in-chief of the IET Collaborative Intelligent Manufacturing and Light: Advanced Manufacturing journals. He has long been committed to the application research of intelligent optimization and machine learning in design and manufacturing, especially in the fields of intelligent design and intelligent scheduling.
Yang Shengxiang:Professor at the School of Computer Science and Information at De Montfort University in the UK, Director of the Computational Intelligence Research Center and Director of the Artificial Intelligence Research Group of the Digital Futures Institute. He has long been engaged in research on computational intelligence theory, methods and applications. His research work has been strongly funded by British and European research foundations and industry, and he has undertaken more than 30 scientific research fund projects. He has published 1 English monograph and 2 English edited volumes, edited more than 10 international conference proceedings, and published more than 500 papers. His Google Scholar citations are more than 23,400 times and his H-index is 78. He was selected into the "World's Top 2% Scientists" list released by Stanford University in the United States from 2019 to 2024. Vice Chairman of the Asian Computational Intelligence Association. Served as deputy editor or editorial board member of more than 10 internationally renowned journals.
Liu Chang:Researcher at Shenyang Institute of Automation, Chinese Academy of Sciences. He has long been engaged in theoretical and applied research on complex manufacturing process modeling, production scheduling and intelligent optimization. He has published more than 50 academic papers, more than 20 patents and software copyrights, and won the first prize of provincial and ministerial level scientific and technological progress awards, invention patent awards, and 5 scientific research achievements. The "Zhongke Yunyi Intelligent Production Scheduling System" developed by him has been put into practical use in discrete and semi-process industries.
Cai Shaowei:Researcher at the Institute of Software, Chinese Academy of Sciences, doctoral supervisor, director of the Constraint Solving Research Office, and a young scientist at Zhiyuan. He has won the National Outstanding Youth Fund and the "Leading Goose" medal of the Chinese Academy of Sciences. He has won the best paper and outstanding paper awards at CAV, CP, and SAT, the top conferences in the field of constraint solving and formal verification. He has won more than ten gold medals in international SAT and SMT competitions in the past ten years, and has won the incomplete track championship in the MaxSAT competition for many years. He has long been committed to the research of constraint solving and chip verification, and his solvers are used in famous companies such as Huawei, BGI Jiutian, Microsoft, Alibaba, and Tencent.
Yan Bing:Associate Professor in the Department of Electrical and Microelectronics Engineering at Rochester Institute of Technology. The research fields mainly focus on the operation optimization of intelligent power and energy systems, the planning and scheduling of intelligent manufacturing systems, and the mathematical optimization of large-scale mixed integer linear programming problems. His research work has been funded by the National Natural Science Foundation of the United States and the Department of Energy.
Zhang Xinjie:Founder of Jiuzhang Intelligence. He holds a bachelor's degree in computational mathematics from Xinjiang University, a master's degree in applied mathematics from Fudan University, and a doctorate in world economics from Shanghai University of Finance and Economics. More than 20 years of experience in information industry services, including project management, consulting, development, testing, etc.; more than 16 years of experience in project management of multinational companies (IBM, Dunnhumby); 5 years of experience in operations management (IBM); industries covering smart cities, finance, retail, logistics, telecommunications, etc.
06 · Eligibility
It is open to undergraduates, graduate students, teachers from universities at home and abroad, as well as professionals from enterprises and scientific research institutes.
07 · Competition Schedule May 10th: Registration May 15th: Platform Open July 15th: Registration Deadline
July 30: Algorithm submission, online review (preliminary round)
August 19-21: On-site defense, review, and awards (finals) 08 · Award setting
1 special prize: 50,000 yuan + IEEE CIS award certificate
1 first prize: 10,000 yuan + IEEE CIS award certificate
3 second prizes: bonus 5,000 yuan + IEEE CIS award certificate
5 third prize winners: 3,000 yuan + IEEE CIS award certificate
Several Excellence Awards (maximum 10): IEEE CIS Award Certificate 09 · Participation Requirements Entry Form
Register through the official website of the event, see below for details.
You can participate individually or as a team. The number of teams must not exceed 5 people. Each player can only join one team.
When a team participates in the competition, one member must submit the work uniformly, and other members must register their real names when registering.
Promotion restrictions
Under the same research field (track), a maximum of 2 teams guided by the same mentor can advance to the finals.
If the core logic or innovation of the algorithms is found to be highly similar in the preliminary round or finals, the teams will be merged into one team after the judges’ decision and the contestants will be notified.
Fee description
The competition does not charge registration fees or judging fees. Participants must bear their own travel, food and accommodation expenses.
Other instructions
Successful registration means that the contestants agree to and abide by all the rules of this competition. If a contestant violates the notice, rules, agreement, etc., the organizer has the right to disqualify the contestant.
10·Preliminary stage review mechanism
Teams that pass the qualification review must complete technical testing on the designated algorithm competition platform and submit complete algorithm results as required. The competition platform will dynamically update the preliminary performance rankings of each team based on the quality of the optimal solution. The review experts will combine the platform's real-time ranking data and professional review opinions to finally select the list of teams that advance to the finals.
It should be noted that the originality and technological innovation of algorithm design will be important scoring dimensions. Teams found to have committed academic misconduct will be immediately disqualified from the competition.All contestants must strictly abide by the confidentiality agreement and any form of discussion of competition topics, leakage of plans and other violations of the competition regulations are prohibited.
11 · Final stage review process
The promoted team must participate in the on-site defense session, which includes two core modules: technical solution presentation (including system demonstration) and expert questioning and defense. The jury composed of authoritative experts in the field will comprehensively evaluate the solution quality, technical implementation integrity, academic professional depth, innovation value dimensions and other indicators of the solution, and finally evaluate special, first-class, and second-class awards. The final result is determined by the weight of "preliminary score (40%) + defense score (60%)" and will be announced simultaneously at the defense site and on the official website of the conference.
The defense and awards will be held at the 7th International Conference on Data-Driven Optimization of Complex Systems (DOCS 2025).
12 · Event Registration
Competition introduction: https://www.ais.cn/attendees/index/2UUEUN
Registration channel: https://www.ais.cn/attendees/toSignUp/2UUEUN
Machine-translated from the Chinese original 【诚邀参赛】DOCS2025第一届“辽河杯”数据驱动的复杂系统优化算法竞赛 (published 2025-05-13). WeChat original ↗