Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Szu Hui Ng"'
Publikováno v:
Energies, Vol 13, Iss 9, p 2213 (2020)
Various mitigation strategies have been proposed to reduce the CO2 emissions from ships, which have become a major contributor to global emissions. The fuel consumption under different mitigation strategies can be evaluated based on two data sources,
Externí odkaz:
https://doaj.org/article/d4d8b9c633d649a3995aeaceb1e78e30
Enhanced Global Optimization With Parallel Global and Local Structures for Real-Time Control Systems
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f82afac516358e5df7ab39640fb68c00
https://doi.org/10.1109/tase.2023.3277888
https://doi.org/10.1109/tase.2023.3277888
Publikováno v:
INFORMS Journal on Computing. 34:569-585
A quantile is a popular performance measure for a stochastic system to evaluate its variability and risk. To reduce the risk, selecting the actions that minimize the tail quantiles of some loss distributions is typically of interest for decision make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceaceefce579f732280172df53e7077f
https://doi.org/10.1287/ijoc.2020.1049
https://doi.org/10.1287/ijoc.2020.1049
Publikováno v:
2022 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207a86dc0de6b94ba9f8bc9a09abcc3f
https://doi.org/10.1109/wsc57314.2022.10015416
https://doi.org/10.1109/wsc57314.2022.10015416
Publikováno v:
Transportation Research Part D: Transport and Environment. 120:103744
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c94f98c635b1c5d05b4f631b64f78a8
https://doi.org/10.1016/j.trd.2023.103744
https://doi.org/10.1016/j.trd.2023.103744
Publikováno v:
European Journal of Operational Research. 287:929-945
This paper looks into nonlinear non convex stochastic unconstrained optimization with finite simulation budget. Our work builds upon the Two-Stage Sequential Optimization (TSSO) algorithm that addresses the class of problems of interest by using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cbbd657e3d074b01818ff299c20415d
https://doi.org/10.1016/j.ejor.2020.04.045
https://doi.org/10.1016/j.ejor.2020.04.045
Publikováno v:
Journal of Global Optimization. 79:87-110
A common approach to global optimization is to combine local optimization methods with random restarts. Restarts have been used as a performance boosting approach. They can be a means to avoid “slow progress” by exploiting a potentially good solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e576feead2c4c24ca805349c158feb7f
https://doi.org/10.1007/s10898-020-00937-5
https://doi.org/10.1007/s10898-020-00937-5
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:1204-1215
Safety is a primary concern for the various transport means. For sea transport, this includes various aspects like human safety at sea and at port, and also environmental safety and sustainability. In heavy-traffic regions where the waters are conges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9047ca1709e792c7d79982e70109879c
https://doi.org/10.1109/tits.2019.2903824
https://doi.org/10.1109/tits.2019.2903824
Autor:
Songhao Wang, Szu Hui Ng
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 30:1-25
The stochastic Gaussian process model has been widely used in stochastic simulation metamodeling. In practice, the performance of this model can be largely affected by the noise in the observations. In this article, we propose an approach to mitigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3978323a9612874121ac0147070aa478
https://doi.org/10.1145/3364219
https://doi.org/10.1145/3364219
Autor:
Jun Yuan, Szu Hui Ng
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 30:1-23
For many large and complex computer models, there usually exist a large number of unknown parameters. To improve the computer model's predictive performance for more reliable and confident decision making, two important issues have to be addressed. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f15a509cdb98b16ea8a8672a107996e
https://doi.org/10.1145/3364217
https://doi.org/10.1145/3364217