Changes
On August 4, 2023 at 8:46:31 AM UTC, admin:
-
Set author of Global Pattern Search for alpha-level Optimisation to Clemens Hübler (previously Clemens Hübler, Benedikt Hofmeister)
f | 1 | { | f | 1 | { |
n | 2 | "author": "Clemens H\u00fcbler, Benedikt Hofmeister", | n | 2 | "author": "Clemens H\u00fcbler", |
3 | "author_email": "c.huebler@isd.uni-hannover.de", | 3 | "author_email": "c.huebler@isd.uni-hannover.de", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.25835/0043276", | 5 | "doi": "10.25835/0043276", | ||
6 | "doi_date_published": "2020-12-08", | 6 | "doi_date_published": "2020-12-08", | ||
7 | "doi_publisher": "LUIS", | 7 | "doi_publisher": "LUIS", | ||
8 | "doi_status": "true", | 8 | "doi_status": "true", | ||
9 | "domain": "https://data.uni-hannover.de", | 9 | "domain": "https://data.uni-hannover.de", | ||
n | n | 10 | "extra_authors": [ | ||
11 | { | ||||
12 | "extra_author": " Benedikt Hofmeister" | ||||
13 | } | ||||
14 | ], | ||||
10 | "groups": [], | 15 | "groups": [], | ||
11 | "have_copyright": "Yes", | 16 | "have_copyright": "Yes", | ||
12 | "id": "e5748bd8-a15d-4733-a93c-6fb7cf91fd28", | 17 | "id": "e5748bd8-a15d-4733-a93c-6fb7cf91fd28", | ||
13 | "isopen": false, | 18 | "isopen": false, | ||
14 | "license_id": "CC-BY-SA-3.0", | 19 | "license_id": "CC-BY-SA-3.0", | ||
15 | "license_title": "CC-BY-SA-3.0", | 20 | "license_title": "CC-BY-SA-3.0", | ||
16 | "maintainer": "Clemens H\u00fcbler", | 21 | "maintainer": "Clemens H\u00fcbler", | ||
17 | "maintainer_email": "c.huebler@isd.uni-hannover.de", | 22 | "maintainer_email": "c.huebler@isd.uni-hannover.de", | ||
18 | "metadata_created": "2021-10-14T10:15:57.929280", | 23 | "metadata_created": "2021-10-14T10:15:57.929280", | ||
n | 19 | "metadata_modified": "2023-01-12T13:14:13.948672", | n | 24 | "metadata_modified": "2023-08-04T08:46:31.161014", |
20 | "name": "luh-global-pattern-search-for-alpha-level-optimisation", | 25 | "name": "luh-global-pattern-search-for-alpha-level-optimisation", | ||
21 | "notes": "The Global Pattern Search for alpha-level Optimisation | 26 | "notes": "The Global Pattern Search for alpha-level Optimisation | ||
22 | (aGPS) is a global optimisation approach explicitly designed for | 27 | (aGPS) is a global optimisation approach explicitly designed for | ||
23 | efficient and user-friendly alpha-level optimisations. It can be used | 28 | efficient and user-friendly alpha-level optimisations. It can be used | ||
24 | to improve the efficiency of fuzzy structural analyses. The | 29 | to improve the efficiency of fuzzy structural analyses. The | ||
25 | efficiency of aGPS stems from its deterministic sample generation, | 30 | efficiency of aGPS stems from its deterministic sample generation, | ||
26 | which allows a reuse of many samples within the various alpha-level | 31 | which allows a reuse of many samples within the various alpha-level | ||
27 | optimisations. Moreover, information gained within an alpha-level | 32 | optimisations. Moreover, information gained within an alpha-level | ||
28 | optimisation is used for all subsequent optimisations. It outperforms | 33 | optimisation is used for all subsequent optimisations. It outperforms | ||
29 | state-of-the-art algorithms. This means that it requires less model | 34 | state-of-the-art algorithms. This means that it requires less model | ||
30 | evaluations, and therefore, it has lower computing times. \r\nHere, | 35 | evaluations, and therefore, it has lower computing times. \r\nHere, | ||
31 | the entire source code for its implementation in MATLAB is given. | 36 | the entire source code for its implementation in MATLAB is given. | ||
32 | \r\nFor further information, it is referred to \"Huebler, C., & | 37 | \r\nFor further information, it is referred to \"Huebler, C., & | ||
33 | Hofmeister, B. (2021). Efficient and user-friendly alpha-level | 38 | Hofmeister, B. (2021). Efficient and user-friendly alpha-level | ||
34 | optimisation for application-orientated fuzzy structural analyses. | 39 | optimisation for application-orientated fuzzy structural analyses. | ||
35 | Submitted to Engineering Structures.\"", | 40 | Submitted to Engineering Structures.\"", | ||
36 | "num_resources": 1, | 41 | "num_resources": 1, | ||
37 | "num_tags": 6, | 42 | "num_tags": 6, | ||
38 | "organization": { | 43 | "organization": { | ||
39 | "approval_status": "approved", | 44 | "approval_status": "approved", | ||
40 | "created": "2021-07-23T08:51:10.174064", | 45 | "created": "2021-07-23T08:51:10.174064", | ||
41 | "description": "(Institute of Structural Analysis) | 46 | "description": "(Institute of Structural Analysis) | ||
42 | Appelstra\u00dfe 9A 30167 Hannover | 47 | Appelstra\u00dfe 9A 30167 Hannover | ||
43 | (Germany)\r\n\r\nhttps://www.isd.uni-hannover.de/en/institute/", | 48 | (Germany)\r\n\r\nhttps://www.isd.uni-hannover.de/en/institute/", | ||
44 | "id": "4c79286e-7fcc-4376-b7af-f1eedd40169c", | 49 | "id": "4c79286e-7fcc-4376-b7af-f1eedd40169c", | ||
45 | "image_url": "", | 50 | "image_url": "", | ||
46 | "is_organization": true, | 51 | "is_organization": true, | ||
47 | "name": "institut-fur-statik-und-dynamik", | 52 | "name": "institut-fur-statik-und-dynamik", | ||
48 | "state": "active", | 53 | "state": "active", | ||
49 | "title": "Institut f\u00fcr Statik und Dynamik", | 54 | "title": "Institut f\u00fcr Statik und Dynamik", | ||
50 | "type": "organization" | 55 | "type": "organization" | ||
51 | }, | 56 | }, | ||
52 | "owner_org": "4c79286e-7fcc-4376-b7af-f1eedd40169c", | 57 | "owner_org": "4c79286e-7fcc-4376-b7af-f1eedd40169c", | ||
53 | "private": false, | 58 | "private": false, | ||
54 | "relationships_as_object": [], | 59 | "relationships_as_object": [], | ||
55 | "relationships_as_subject": [], | 60 | "relationships_as_subject": [], | ||
56 | "repository_name": "Leibniz University Hannover", | 61 | "repository_name": "Leibniz University Hannover", | ||
57 | "resources": [ | 62 | "resources": [ | ||
58 | { | 63 | { | ||
59 | "cache_last_updated": null, | 64 | "cache_last_updated": null, | ||
60 | "cache_url": null, | 65 | "cache_url": null, | ||
61 | "created": "2021-02-15T09:55:17.047571", | 66 | "created": "2021-02-15T09:55:17.047571", | ||
62 | "description": "MATLAB Source Code of \"Global Pattern Search | 67 | "description": "MATLAB Source Code of \"Global Pattern Search | ||
63 | for alpha-level optimisations (aGPS)\"", | 68 | for alpha-level optimisations (aGPS)\"", | ||
64 | "format": "ZIP", | 69 | "format": "ZIP", | ||
65 | "hash": "", | 70 | "hash": "", | ||
66 | "id": "2928c971-9642-4083-b7bd-1e9d28e72260", | 71 | "id": "2928c971-9642-4083-b7bd-1e9d28e72260", | ||
67 | "last_modified": "2021-02-23T12:54:30.776418", | 72 | "last_modified": "2021-02-23T12:54:30.776418", | ||
n | 68 | "metadata_modified": "2023-01-12T13:14:13.957118", | n | 73 | "metadata_modified": "2023-08-04T08:46:31.165360", |
69 | "mimetype": "application/zip", | 74 | "mimetype": "application/zip", | ||
70 | "mimetype_inner": null, | 75 | "mimetype_inner": null, | ||
71 | "name": "aGPS", | 76 | "name": "aGPS", | ||
72 | "package_id": "e5748bd8-a15d-4733-a93c-6fb7cf91fd28", | 77 | "package_id": "e5748bd8-a15d-4733-a93c-6fb7cf91fd28", | ||
73 | "position": 0, | 78 | "position": 0, | ||
74 | "resource_type": null, | 79 | "resource_type": null, | ||
75 | "size": 27271, | 80 | "size": 27271, | ||
76 | "state": "active", | 81 | "state": "active", | ||
77 | "url": | 82 | "url": | ||
78 | fd28/resource/2928c971-9642-4083-b7bd-1e9d28e72260/download/agps.zip", | 83 | fd28/resource/2928c971-9642-4083-b7bd-1e9d28e72260/download/agps.zip", | ||
79 | "url_type": "" | 84 | "url_type": "" | ||
80 | } | 85 | } | ||
81 | ], | 86 | ], | ||
t | t | 87 | "services_used_list": "", | ||
82 | "source_metadata_created": "2020-11-12T09:01:36.115707", | 88 | "source_metadata_created": "2020-11-12T09:01:36.115707", | ||
83 | "source_metadata_modified": "2022-06-24T05:41:27.090384", | 89 | "source_metadata_modified": "2022-06-24T05:41:27.090384", | ||
84 | "state": "active", | 90 | "state": "active", | ||
85 | "tags": [ | 91 | "tags": [ | ||
86 | { | 92 | { | ||
87 | "display_name": "alpha-level optimisation", | 93 | "display_name": "alpha-level optimisation", | ||
88 | "id": "e486a7f3-b356-4292-ab52-88701df4a2aa", | 94 | "id": "e486a7f3-b356-4292-ab52-88701df4a2aa", | ||
89 | "name": "alpha-level optimisation", | 95 | "name": "alpha-level optimisation", | ||
90 | "state": "active", | 96 | "state": "active", | ||
91 | "vocabulary_id": null | 97 | "vocabulary_id": null | ||
92 | }, | 98 | }, | ||
93 | { | 99 | { | ||
94 | "display_name": "fuzzy methods", | 100 | "display_name": "fuzzy methods", | ||
95 | "id": "2d9c7601-168b-4085-87d9-ef0548e22ebc", | 101 | "id": "2d9c7601-168b-4085-87d9-ef0548e22ebc", | ||
96 | "name": "fuzzy methods", | 102 | "name": "fuzzy methods", | ||
97 | "state": "active", | 103 | "state": "active", | ||
98 | "vocabulary_id": null | 104 | "vocabulary_id": null | ||
99 | }, | 105 | }, | ||
100 | { | 106 | { | ||
101 | "display_name": "fuzzy structural analysis", | 107 | "display_name": "fuzzy structural analysis", | ||
102 | "id": "ec4d14e9-98b4-43ea-bbe7-f754cc369def", | 108 | "id": "ec4d14e9-98b4-43ea-bbe7-f754cc369def", | ||
103 | "name": "fuzzy structural analysis", | 109 | "name": "fuzzy structural analysis", | ||
104 | "state": "active", | 110 | "state": "active", | ||
105 | "vocabulary_id": null | 111 | "vocabulary_id": null | ||
106 | }, | 112 | }, | ||
107 | { | 113 | { | ||
108 | "display_name": "global optimisation", | 114 | "display_name": "global optimisation", | ||
109 | "id": "31cf6e3f-39ac-4f86-b8a0-ed5da7875390", | 115 | "id": "31cf6e3f-39ac-4f86-b8a0-ed5da7875390", | ||
110 | "name": "global optimisation", | 116 | "name": "global optimisation", | ||
111 | "state": "active", | 117 | "state": "active", | ||
112 | "vocabulary_id": null | 118 | "vocabulary_id": null | ||
113 | }, | 119 | }, | ||
114 | { | 120 | { | ||
115 | "display_name": "uncertainty", | 121 | "display_name": "uncertainty", | ||
116 | "id": "6ab0052e-f8f9-4654-b8dd-d76563fceb5f", | 122 | "id": "6ab0052e-f8f9-4654-b8dd-d76563fceb5f", | ||
117 | "name": "uncertainty", | 123 | "name": "uncertainty", | ||
118 | "state": "active", | 124 | "state": "active", | ||
119 | "vocabulary_id": null | 125 | "vocabulary_id": null | ||
120 | }, | 126 | }, | ||
121 | { | 127 | { | ||
122 | "display_name": "uncertainty quantification", | 128 | "display_name": "uncertainty quantification", | ||
123 | "id": "db917de6-5010-47c6-86a8-9796d5f3ca88", | 129 | "id": "db917de6-5010-47c6-86a8-9796d5f3ca88", | ||
124 | "name": "uncertainty quantification", | 130 | "name": "uncertainty quantification", | ||
125 | "state": "active", | 131 | "state": "active", | ||
126 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
127 | } | 133 | } | ||
128 | ], | 134 | ], | ||
129 | "terms_of_usage": "Yes", | 135 | "terms_of_usage": "Yes", | ||
130 | "title": "Global Pattern Search for alpha-level Optimisation", | 136 | "title": "Global Pattern Search for alpha-level Optimisation", | ||
131 | "type": "vdataset", | 137 | "type": "vdataset", | ||
132 | "url": | 138 | "url": | ||
133 | nnover.de/dataset/global-pattern-search-for-alpha-level-optimisation", | 139 | nnover.de/dataset/global-pattern-search-for-alpha-level-optimisation", | ||
134 | "version": "" | 140 | "version": "" | ||
135 | } | 141 | } |