Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Shouyong Jiang"'
Publikováno v:
Smart Agricultural Technology, Vol 1, Iss , Pp 100011- (2021)
The reduced Tomgro model is one of the popular biophysical models, which can reflect the actual growth process and model the yields of tomato-based on environmental parameters in a greenhouse. It is commonly integrated with the greenhouse environment
Externí odkaz:
https://doaj.org/article/41175b8bcbd145bf95e6be50a6d337d6
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0254839 (2021)
This paper proposes a new dynamic multi-objective optimization algorithm by integrating a new fitting-based prediction (FBP) mechanism with regularity model-based multi-objective estimation of distribution algorithm (RM-MEDA) for multi-objective opti
Externí odkaz:
https://doaj.org/article/46b166da3d704e36930035a5d6b90d85
Publikováno v:
Sensors, Vol 21, Iss 13, p 4537 (2021)
Currently, greenhouses are widely applied for plant growth, and environmental parameters can also be controlled in the modern greenhouse to guarantee the maximum crop yield. In order to optimally control greenhouses’ environmental parameters, one i
Externí odkaz:
https://doaj.org/article/70bf134f832544d4a8db4ec19eff8283
Autor:
SHOUYONG JIANG1 shouyong.jiang@abdn.ac.uk, JUAN ZOU2 zouan@xtu.edu.cn, SHENGXIANG YANG3 syang@dmu.ac.uk, XIN YAO4 xiny@sustech.edu.cn
Publikováno v:
ACM Computing Surveys. May2023, Vol. 55 Issue 4, p1-47. 47p.
Publikováno v:
In IFAC PapersOnLine 2018 51(18):269-274
Publikováno v:
IEEE Transactions on Cybernetics. 52:13129-13141
A mixed-integer programming (MIP) problem contains both constraints and integer restrictions. Integer restrictions divide the feasible region defined by constraints into multiple discontinuous feasible parts. In particular, the number of discontinuou
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. In recent years, researchers have made significant progress in handling dynamic multi-objective optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170b5793e9b7b3b5a9a171e84c31c1a3
Autor:
Shouyong Jiang, Irene Otero-Muras, Julio R. Banga, Yong Wang, Marcus Kaiser, Natalio Krasnogor
Publikováno v:
ACS Synthetic Biology. 11:1531-1541
Computational tools have been widely adopted for strain optimization in metabolic engineering, contributing to numerous success stories of producing industrially relevant biochemicals. However, most of these tools focus on single metabolic interventi
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link This study proposes a novel and lightweight bio-inspired computation technique named biological surviva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93820132120ae9e373a2a2c05fd71a22
https://doi.org/10.1007/s00500-023-07851-4
https://doi.org/10.1007/s00500-023-07851-4
This study proposes a novel and lightweight bio-inspired computation technique named biological survival optimizer (BSO), which simulates the escape behavior of prey in the natural environment. This algorithm consists of two important courses, escape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cd08bc85484d47a6743fbcd1137decf
https://doi.org/10.21203/rs.3.rs-1620703/v2
https://doi.org/10.21203/rs.3.rs-1620703/v2