Kei NISHIHARA received B.Eng. and M.Eng. from Yokohama National University, Yokohama, Japan, in 2020 and 2022, respectively. He is now a doctoral student at Yokohama National University. His current research interest includes evolutionary computation. He belongs to the Evolutionary Intelligence Research Group (Nakata Lab.), which deals with Evolutionary Rule-based Machine Learning (ERL or EML) and Evolutionary Computation (EC). He is also a student member of IEEE (and CIS), IEEJ, IPSJ, and JPNSEC. JSPS Research Fellow (DC1).
Qualification: Applied Information Technology Engineer, Fundamental Information Technology Engineer, The Third Class Electric Chief Engineer.
B.Eng. in Electrical Engineering and Computer Science, 2020
Yokohama National University, Japan
M.Eng. in Electrical Engineering and Computer Science, 2022
Yokohama National University, Japan
Major: Evolutionary Computation
Laboratory: Evolutionary Intelligence Research Group (Nakata Lab)
Ph.D. Thesis:
Major: Evolutionary Computation
Laboratory: Evolutionary Intelligence Research Group (Nakata Lab)
Master Thesis: “Adaptive Evolutionary Computation with Prior-Validation” (in Japanese, PDF)
Major (B1 - B3): Electrical Engineering and Computer Science
Laboratory (B4): Evolutionary Intelligence Research Group (Nakata Lab)
Graduation Thesis: “Competitive-Adaptive Algorithm-Tuning of Metaheuristics inspired by the Equilibrium Theory” (in Japanese, PDF)
Clubs I belonged to:
Eiko Piano Circle / former page
We performed and managed concerts three times a year, including the school festival, and organized a new seminar by inviting outside lecturer. As a member of Bible class, I accompanied the organ at Mass.
Bible class
It was a precious time of reading and being taught the Bible, as well as discussing its contents and other trivial matters with my fellow students. I am grateful for the opportunity to work in an atmosphere that was not at all formal, and to have had many experiences such as pilgrimages to Tokyo and Nagasaki (half of which were sightseeing!) and volunteering.
Soccer club
in junior high (Eiko Gakuen is a combined junior and senior high school). It was a perfect balance of self-discipline and pure enjoyment of soccer.
Notice We got the IEEE CIS Young Researchers Award and Presentation Award at the same time. All materials on this page are author’s versions, not necessarily coincide with final published versions.
This paper proposes a novel SAEA with adaptation of the training data selection criterion. Our proposal builds multiple RBF surrogate models with sets of training data chosen by different selection criteria, and selects one model with the best accuracy.
I sincerely would like to give my gratitude for your kind support.