Computational Intelligence Group
Hangzhou Normal University and Zhejiang University of Technology
Research fields
| Intelligent optimization algorithms | Evolutionary deep learning | Disaster relief computing | UAV Search and Rescue |
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News
Feb 20, 2023
Our paper Real-time neural network scheduling of emergency medical mask production during COVID-19 obtained the 2022 Applied Soft Computing Best Paper Award -- Fast Track Covid-19 Publication (web link)
Dec 30, 2022
Our paper Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers was published in Expert Systems with Applications
Nov 05, 2022
Our paper Integration of machine learning prediction and heuristic optimization for mask delivery in COVID-19 was published in Swarm and Evolutionary Computation
Oct 10, 2022
Professor Zheng Yujun was selected into the top 2% of the world's top scientists in 2022 in the double list of "career influence" and "annual influence" (resource link)
epidemic prevention and control
We cooperate with the Medical College of HZNU, Zhejiang Provincial CDC, and Zhejiang Provincial TCM Hospital to study intelligent computing for COVID-19 epidemic prevention and control Research reports
Mar 29, 2022
Our paper Predicting demands of COVID-19 prevention and control materials via co-evolutionary transfer learning was published in IEEE Transactions on Cybernetics
Mar 22, 2022
Our paper Evolutionary optimization of COVID-19 vaccine distribution with evolutionary demands was published in IEEE Transactions on Evolutionary Computation
Jun 10, 2021
Our paper Co-evolutionary fuzzy deep transfer learning for disaster relief demand forecasting was published in IEEE Transactions on Emerging Topics in Computing
Jun 09, 2021
Our paper UAV search-and-rescue planning using an adaptive memetic algorithm was published in Frontiers of Information Technology & Electronic Engineering
Jun 05, 2021
Our paper Adapted water wave optimization for integrated bank customer service representative scheduling was published in International Journal of Production Research
Jun 04, 2021
Our paper A water wave optimization algorithm for order selection and delivery path optimization for takeaway was published in International Conference on Information Science and Technology (ICIST), and was recommended to be expanded and published in Complex & Intelligent Systems
Mar 31, 2020
Our paper An optimization method for production resumption planning under COVID-19 Epidemic was reprinted by China Social Science Excellence
Dec, 2020
Our paper Real-time neural network scheduling of emergency medical mask production during COVID-19 was published in Applied Soft Computing
Oct 21, 2020
Our research Intelligent optimization of diversified community prevention of COVID-19 using Traditional Chinese Medicine was published in IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
Jun 22, 2020
Our paper Evolutionary human-UAV cooperation for transmission network restoration was published in IEEE Transactions on Industrial Informatics
Mar 06, 2020
Our paper Tridirectional transfer learning for predicting gastric cancer morbidity was published in IEEE Transactions on Neural Networks and Learning Systems
Aug 07, 2019
Our paper Shallow and deep neural network training by water wave optimization was published in Swarm and Evolutionary Computation (IF: 6.330) (first author: Xiao-Han Zhou)
July 06, 2019
Our research progress of Water Wave Optimization (WWO) algorithm Water wave optimization for combinatorial optimization: Design strategies and applications was published in Applied Soft Computing
June 26, 2019
Our paper Evolutionary Collaborative Human-UAV Search for Escaped Criminals was published in the IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
June 04,2019
Our paper Evolutionary Planning of Multi-UAV Search for Missing Tourists was published in the IEEE Access
November 4-7,2018
Our research Collaborative Human-UAV Search & Rescue for Missing Tourists in Nature Reserves was Nominated for Daniel H. Wagner Prize for Excellence in Operations Research Practice
November 2-4,2018
