Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hiroyuki Ohyanagi"'
Autor:
Yoichi Fukushima, Takeshi Tashiro, Akiko Kumagai, Hiroyuki Ohyanagi, Takumi Horiuchi, Kazuhiro Takizawa, Norie Sugihara, Yoshimi Kishimoto, Chie Taguchi, Mariko Tani, Kazuo Kondo
Publikováno v:
Journal of Nutritional Science, Vol 3 (2014)
Food and beverages rich in polyphenols have been shown to reduce the risk of non-communicable diseases. The present study estimated polyphenol levels and consumption from food and beverages in Japanese women. Randomly recruited housewives living in t
Externí odkaz:
https://doaj.org/article/8ab284bfef69497e9ff9e577646021dc
Autor:
Takumi Horiuchi, Norie Sugihara, Kazuo Kondo, Yoichi Fukushima, Yoshimi Kishimoto, Hiroyuki Ohyanagi, Takeshi Tashiro, Akiko Kumagai, Kazuhiro Takizawa, Chie Taguchi, Mariko Tani
Publikováno v:
Journal of Nutritional Science
Food and beverages rich in polyphenols have been shown to reduce the risk of non-communicable diseases. The present study estimated polyphenol levels and consumption from food and beverages in Japanese women. Randomly recruited housewives living in t
Publikováno v:
IEEE Congress on Evolutionary Computation
Recently it has been pointed out in many studies that evolutionary multi-objective optimization (EMO) algorithms with Pareto dominance-based fitness evaluation do not work well on many-objective problems with four or more objectives. In this paper, w
Publikováno v:
MCDM
In evolutionary multi-objective optimization (EMO) algorithms, diversity maintenance has been mainly discussed in the objective space in order to search for uniformly distributed non-dominated solutions along the entire Pareto front. In this paper, w
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642198922
EMO
EMO
Recently MOEA/D (multi-objective evolutionary algorithm based on decomposition) was proposed as a high-performance EMO (evolutionary multiobjective optimization) algorithm. MOEA/D has high search ability as well as high computational efficiency. Wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0eabf1db51193d20242ec5f817cd638
https://doi.org/10.1007/978-3-642-19893-9_12
https://doi.org/10.1007/978-3-642-19893-9_12
Publikováno v:
FUZZ-IEEE
The iterated prisoner's dilemma (IPD) game has been frequently used to examine the evolution of cooperative behavior among agents in the field of evolutionary computation. A number of factors are known to be related to the evolution of cooperative be
Publikováno v:
NTT Technical Review. Oct2015, Vol. 13 Issue 10, p1-5. 5p.
Autor:
Hiroyuki OHYANAGI
Publikováno v:
Nihon Kessho Gakkaishi. 27:106-112
Publikováno v:
Inorganic Chemistry. 25:700-703
Publikováno v:
Scopus-Elsevier
ResearcherID
ResearcherID
The iterated prisoner’s dilemma (IPD) game has frequently been used to examine the evolution of cooperative behavior among agents. When the effect of representation schemes of IPD game strategies was examined, the same representation scheme was usu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb34bc68615148c43208ae8935e4736
http://www.scopus.com/inward/record.url?eid=2-s2.0-78149324193&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-78149324193&partnerID=MN8TOARS