Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Akiko YOSHISE"'
Publikováno v:
IEEE Access, Vol 9, Pp 79816-79828 (2021)
The study focuses on the strategic decisions including on the location and capacity of stations and the fleet size for designing the one-way station-based carsharing systems. Under demand uncertainty, we introduce a two-stage risk-averse stochastic m
Externí odkaz:
https://doaj.org/article/65a910a11b424595b9f37291a3dd1b66
Autor:
Yosuke WATANABE, Kiyo ISHII, Toshiki SATO, Atsuko TAKEFUSA, Tomohiro KUDOH, Maiko SHIGENO, Akiko YOSHISE
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 10, Iss 3, Pp JAMDSM0038-JAMDSM0038 (2016)
Wavelength division multiplexing (WDM) technology transmits multiple optical communication channels in an optical fiber. Routing and wavelength assignment (RWA) problems on WDM network have widely attracted interest of many researchers. Recently, so
Externí odkaz:
https://doaj.org/article/5687444972d2474a90c64b7741078cb2
Publikováno v:
IEEE Access, Vol 9, Pp 79816-79828 (2021)
The study focuses on the strategic decisions including on the location and capacity of stations and the fleet size for designing the one-way station-based carsharing systems. Under demand uncertainty, we introduce a two-stage risk-averse stochastic m
Publikováno v:
Computational Optimization and Applications. 78(3):893-913
We develop techniques to construct a series of sparse polyhedral approximations of the semidefinite cone. Motivated by the semidefinite (SD) bases proposed by Tanaka and Yoshise (2018), we propose a simple expansion of SD bases so as to keep the spar
Autor:
Yasutaka Miyagawa, Yosuke Watanabe, Atsuko Takefusa, Akiko Yoshise, Maiko Shigeno, Kiyo Ishii
Publikováno v:
Optical Switching and Networking. 31:144-161
Elastic optical networks with optical-orthogonal frequency division multiplexing have been addressed enthusiastically for communication networks in the last decade because they result in high bandwidth efficiency. Routing and spectrum allocation (RSA
Autor:
Zhijian Lai, Akiko Yoshise
Copositive optimization is a special case of convex conic programming, and it consists of optimizing a linear function over the cone of all completely positive matrices under linear constraints. Copositive optimization provides powerful relaxations o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00425ec5a557c97e598b7b603c0590e0
Autor:
Yuzhu Wang, Akiko Yoshise
We evaluate the dual cone of the set of diagonally dominant matrices (resp., scaled diagonally dominant matrices), namely ${\cal DD}_n^*$ (resp., ${\cal SDD}_n^*$), as an approximation of the semidefinite cone. We prove that the norm normalized dista
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286a6a77b48ad835b17701ffdd3ba7a9
Publikováno v:
Computational Optimization and Applications. 64:865-880
This paper concerns a method of selecting a subset of features for a logistic regression model. Information criteria, such as the Akaike information criterion and Bayesian information criterion, are employed as a goodness-of-fit measure. The purpose
Publikováno v:
Global Perspectives on Service Science: Japan ISBN: 9781493935925
In the MBA Program of the University of Tsukuba, Japan, we have created a curriculum and teaching materials for the service science of customer-oriented business innovation. The curriculum consists of subjects for (1) science of effectiveness, (2) sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcfe9a2de05b63c081dea07a803dfd7e
https://doi.org/10.1007/978-1-4939-3594-9_20
https://doi.org/10.1007/978-1-4939-3594-9_20
Autor:
Akiko Yoshise, Akihiro Tanaka
The authors in a previous paper devised certain subcones of the semidefinite plus nonnegative cone and showed that satisfaction of the requirements for membership of those subcones can be detected by solving linear optimization problems (LPs) with $O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5288160fa9ae2bcce8077266f6867cf