Recently, the team of Academician Qian Feng, the key laboratory of intelligent manufacturing in energy and chemical processes of the Ministry of Education of our school, has made the latest progress in the field of large-scale optimization, and the related research article was published in IEEE Transactions on Evolutionary Computing, the top journal of computer science and artificial intelligence.

The article is first authored by Chen Minyang, a Masteral Candidate of the School of Information, ECUST, and corresponding authored by associate professor Du Wei of the School of Information. The research has received guidance from Professor Jin Yaochu, an academician of the European Academy of Sciences, Professor Gary G. Yen of Oklahoma State University and Professor Tang Yang of ECUST. The research was financially funded by the Basic Science Center of National Natural Science Foundation of China, Shanghai Frontier Science Research Base, Shanghai Youth Science and Technology Rising Star and other projects. It is worth noting that IEEE Transactions on Evolutionary Computing is among the top three journals in the field of computer science and artificial intelligence, with the latest impact factor of 16.497. This is the second article of the Department of Automation, School of Information, ECUST, after publishing an innovative article in this journal since last year.