Yu kunjie

Yu kunjie

This data is missing

Overview chart

, add related content, make data more complete, but also quickly upgrade, come on!

Yu kunjie, male, doctor, associate professor of Zhengzhou University.

Personal experience

In June 2017, he graduated from the Key Laboratory of "advanced control and optimization technology of chemical process" of the Ministry of education of East China University of science and technology, and obtained the doctor's degree of engineering; from October 2015 to October 2016, he went to the University of Western Australia for doctor's joint training with the support of the national scholarship committee. He joined the school of electrical engineering of Zhengzhou University in June 2017 and was promoted to associate professor in April 2019.

He is an expert of ieeetransactions on evolutionary computation, swarm and evolutionary computation, applied energy, energy, Information Sciences, neurocomputing, applied soft computing, Journal of automation, control and decision, Journal of Zhengzhou University (Engineering Edition), etc.

Research direction

He has been engaged in evolutionary computing, multi-objective optimization, constrained optimization, machine learning, complex industrial process modeling and optimization, energy optimization and other research work.

academic achievements

He has published more than 15 related academic papers in applied energy, energy conversion management, energy, Information Sciences, knowledge-based systems, computers & Chemical Engineering, chemicals and intelligent laboratory systems, Journal of intelligent manufacturing, Journal of automation, Journal of software, progress of chemical engineering and other journals, and authorized one invention patent and one computer patent There are two software copyrights. He presided over one National Natural Science Foundation project, one National Postdoctoral Science Foundation project, one Henan postdoctoral research project, one key laboratory open project fund of the Ministry of education, one top doctoral research startup fund of Zhengzhou University, and participated in a number of scientific research projects, including key projects of National Natural Science Foundation, general projects and enterprise entrusted projects.

Main published papers: < ol > < li > c.t.yue, b.y.qu, k.j.yu, j.j.liang, x.d Li.ANovelScalableTestProblemSuiteforMultimodalMultiobjectiveOptimization ,SwarmandEvolutionaryComputation,vol.48,pp.62-71,2019.