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Computational Intelligence Laboratory (CIL) of Peking University was founded in 2007. Now there are five faculty members in our lab, including one academician of Chinese Academy of Engineering, two professors, one guest professor and one research fellow.

We are focusing on the research work related with Computational Intelligence, including Swarm Intelligence, Fireworks Algorithm, Neural Networks Information Processing, Intelligent Info Processing, Data Mining and Knowledge Discovery and DNA Biological Computation as well as their application in Computer Information Security. We are doing some work with Intelligent Information Processing, Artificial Immune System for Information Security, Evolutionary Computation, Blind Source Separation Neural Network, Machine Learning Method, etc.

Pinned

• Welcome to our new FWA Forum with new open sourced code on github.

• Welcome active researchers with a PhD degree to join us as postdoctoral fellows Bo Ya Postdoctoral Fellowship (博雅博士后) to do some innovative and amazing works under the guidance of Prof. Ying Tan. Interested people should send your CV and statements to ytan(AT)pku.edu.cn! Read more

• Welcome active youth researchers and teachers at universities and institutes to join us as visiting scholars and training teachers to do some innovative works and projects under the big umbrella of Computational Intelligence! Interested people should send your CV and statement to Prof. Y. Tan at ytan(AT)pku.edu.cn.

• Generative Adversarial Optimization (GAO), an inovative new optimization algorithm pdf . The code  of GAO is available now! Click here to download it. 

What's New in 2023

• Congratulations on the successful completion of Computational Intelligence Laboratory Exhibition on the 2023 National Science Day [LINK]
• Congratulations to the successful completion of "The Fourteenth International Conference on Swarm Intelligence (ICSI’2023)"! [LINK]
• Congratulations to the successful completion of "PKU Graduate Summer School on the Cutting Edges of Swarm Intelligence (PKU-GSS-CESI'2023)"! [LINK]
• Congratulations to Renlong Chen and Prof. Ying Tan whose paper entitled "Credit assignment with predictive contribution measurement in multi-agent reinforcement learning" has been accepted by Neural Networks [Pdf]
• Welcome to participate PKU Graduate Summer School on the Cutting Edges of Swarm Intelligence (PKU-GSS-CESI'2023) held on July 10-16, 2023 in Peking University, Beijing, China. [Link]
• Congratulations to Maiyue Chen and Prof. Ying Tan whose paper entitled "SF-FWA: A Self-adaptive Fast Fireworks Algorithm for Effective Large-scale Optimization" has been accepted by Swarm and Evolutionary Computation. (IF=10.627) [Pdf]
• Congratulate Prof. Ying Tan on being awarded 2022 Highly Cited Chinese Researchers Scholar (Elsevier)! [News]
• Congratulations to Prof. Ying Tan and Bo Shi for obtaining a new patent entitled “Generative Adversarial Network-based Optimization Method and Application”! [Notice of Allowance] [Certificate1] [Certificate2] [Description1] [Description2]


• Call for papers for "The Fourteenth International Conference on Swarm Intelligence (ICSI’2023) "14 - 18 July 2023, Shenzhen, China!


• Congratulate Prof. Ying Tan on being awarded the second prize of Beijing Science and Technology Award! [Certificate1] [Certificate2] [Link]


• Our lab is pleased to announce that we have been awarded the National Natural Science Foundation of China (Grant No. 62250037). The NSFC grant will fund our continued research in Firework Swarm Learning, enabling us to expand our knowledge and make meaningful contributions to the field. We are grateful for this opportunity and look forward to the discoveries that lie ahead. [publicity]


• Our lab is pleased to announce that we have been awarded the Key Program of the National Natural Science Foundation of China (Grant No. 62276008) for our research in Swarm Robotics. [publicity]

Books

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