Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Chyon Hae Kim"'
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract Efficient plant breeding plays a significant role in increasing crop yields and attaining food security under climate change. Screening new cultivars through yield trials in multi-environments has improved crop yields, but the accumulated da
Externí odkaz:
https://doaj.org/article/3dd0f6ef628f4b7b8868cbd56ec9ba76
Autor:
Ricardo Navarro, Chyon Hae Kim
Publikováno v:
Mathematics, Vol 8, Iss 5, p 665 (2020)
Variable Mesh Optimization with Niching (VMO-N) is a framework for multimodal problems (those with multiple optima at several search subspaces). Its only two instances are restricted though. Being a potent multimodal optimizer, the Hill-Valley Evolut
Externí odkaz:
https://doaj.org/article/da96ae1841c84e27b754e13aaabe851b
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-12
Autor:
Yuichi Kobayashi, Chyon Hae Kim, Yuki Shimomura, Sugimoto Takeshi, Hidenori Yabushita, Francisco J. Arjonilla Garcia, Kazuhito Tanaka, Takahiro Toda
Publikováno v:
International Journal of Social Robotics. 14:373-387
To achieve robot navigation in crowded environments having high densities of moving people, it is insufficient to simply consider humans as moving obstacles and avoid collisions with them. That is, the impact of an approaching robot on human movement
Autor:
Rakesh Singh, Hiroyoshi Iwata, Akio Kimura, Hein Zaw, Hei Leung, Hiroyuki Shimono, Tanzila Islam, Chyon Hae Kim, Chitra Raghavan
Publikováno v:
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies.
Autor:
Chyon Hae Kim, Ricardo Navarro
Publikováno v:
2020 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI).
Multimodal optimization methods seek multiple optima at several search subspaces in complex (industrial) scenarios. At their forefront, the Hill-Valley Evolutionary Algorithm (HillVallEA) was lately extended as the Hill-ValleyClustering-based Variabl
Autor:
Chyon Hae Kim, Ricardo Navarro
Publikováno v:
Mathematics
Volume 8
Issue 5
Mathematics, Vol 8, Iss 665, p 665 (2020)
Volume 8
Issue 5
Mathematics, Vol 8, Iss 665, p 665 (2020)
Variable Mesh Optimization with Niching (VMO-N) is a framework for multimodal problems (those with multiple optima at several search subspaces). Its only two instances are restricted though. Being a potent multimodal optimizer, the Hill-Valley Evolut
Publikováno v:
International Journal of Control, Automation and Systems. 16:1840-1853
Motor babbling allows an agent sampling trajectory data without a priori knowledge about self-body and environment dynamics. We discuss about the efficiency of motor babbling through the example of drawing task. In authors’ insight, natural motor b
Autor:
Kuniyuki Takahashi, Tetsuya Ogata, Shigeki Sugano, Chyon Hae Kim, Hiroki Yamada, Ryo Hirai, Shohei Hama
Publikováno v:
Advanced Robotics. 32:122-136
In this paper, we discuss about the learning performance of dynamics learning tree (DLT) while mainly focusing on the implementation on robot arms. We propose an input-order-designing method for DL...
Autor:
Chyon Hae Kim
Publikováno v:
Journal of the Robotics Society of Japan. 36:620-623