Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jiaxiang Yi"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 314-321 (2024)
Cervical cancer is a major global health issue, particularly in developing countries where access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for successful treatment and reducing mortality rates. However, traditiona
Externí odkaz:
https://doaj.org/article/a10d4c825721493fbed4a79c01f0c0d5
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 17, Iss 2, Pp 148-155 (2022)
ObjectivesAs solving the robust optimization (RO) problem with interval uncertainty is unduly time-consuming when the nested differential evolution algorithm is directly used, a new RO design method is proposed.MethodsIn the proposed method, individu
Externí odkaz:
https://doaj.org/article/6ddc9fa67d7a412290aa47d314484e9f
Autor:
Junze WANG, Yuan WANG, Jiaxiang YI, Tao HAN, Puyu JIANG, Jiameng WU, Yuansheng CHENG, Jun LIU
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 16, Iss 4, Pp 44-52 (2021)
ObjectivesThe optimization design of a ship strong frame structure under the requirements of the common structural rules (CSR) is a complex and time-consuming problem. Moreover, its tremendous constraints make it difficult to judge the feasibility of
Externí odkaz:
https://doaj.org/article/99654b8f191c4c918bdc22b663ecb69b
Publikováno v:
Applied Sciences, Vol 10, Iss 10, p 3554 (2020)
The optimization design of engineering products involving computationally expensive simulation is usually a time-consuming or even prohibitive process. As a promising way to relieve computational burden, adaptive Kriging-based design optimization (AK
Externí odkaz:
https://doaj.org/article/e1321d5e2e5941adb5b9946970c9405b
Publikováno v:
Information Sciences. 569:728-745
Constrained optimization problems trouble engineers and researchers because of their high complexity and computational cost. When the objective function and constraints are both expensive black-box problems, there are many difficulties in solving the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bf0ae69f84618b2186f63c65d5ddf38
https://doi.org/10.1016/j.ins.2021.05.015
https://doi.org/10.1016/j.ins.2021.05.015
Publikováno v:
Structural and Multidisciplinary Optimization. 63:173-195
Active-learning surrogate model–based reliability analysis is widely employed in engineering structural reliability analysis to alleviate the computational burden of the Monte Carlo method. To date, most of these methods are built based on the sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0aceb484e24e60fda45e875ded3ae9
https://doi.org/10.1007/s00158-020-02678-1
https://doi.org/10.1007/s00158-020-02678-1
Publikováno v:
Structural and Multidisciplinary Optimization. 62:2517-2536
The Kriging-based reliability analysis is extensively adopted in engineering structural reliability analysis for its capacity to achieve accurate failure probability estimation with high efficiency. Generally, the Kriging-based reliability analysis i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9065997ab504333f5c2d415b83234f00
https://doi.org/10.1007/s00158-020-02622-3
https://doi.org/10.1007/s00158-020-02622-3
Publikováno v:
Engineering with Computers. 38:31-49
The problem of locating a contour widely exists in the engineering product design, such as the constrained optimization problem, reliability analysis, and so on. The surrogate model-assisted contour prediction methods have gained more attention latel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff7c6dbcd7c9235a226bc85a19178ed
https://doi.org/10.1007/s00366-020-01043-6
https://doi.org/10.1007/s00366-020-01043-6
Publikováno v:
Structural and Multidisciplinary Optimization. 65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d9ba3927a705e866f28b0617bb351c
https://doi.org/10.1007/s00158-022-03216-x
https://doi.org/10.1007/s00158-022-03216-x
Publikováno v:
Structural and Multidisciplinary Optimization, 65(7)
In this paper, a variable-fidelity constrained lower confidence bound (VF-CLCB) criterion is presented for computationally expensive constrained optimization problems (COPs) with two levels of fidelity. In VF-CLCB, the hierarchical Kriging model is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bffebb96a82fb1c928027bef8fec0e8
http://resolver.tudelft.nl/uuid:c3eb9310-cc57-4a99-860c-6ef3d0d3b880
http://resolver.tudelft.nl/uuid:c3eb9310-cc57-4a99-860c-6ef3d0d3b880
