Evolutionary Approaches to the Three-dimensional Multi-pipe Routing Problem: A Comparative Study Using Direct Encodings View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Marcus Furuholmen , Kyrre Glette , Mats Hovin , Jim Torresen

ABSTRACT

In this study, three Genetic Algorithms (GAs) are applied to the Three-dimensional Multi-pipe Routing problem. A Standard GA, an Incremental GA, and a Coevolutionary GA are compared. Variable length pipelines are built by letting a virtual robot move in space according to evolved, fixed length command lines and allocate pipe segments along its route. A relative and an absolute encoding of the command lines are compared. Experiments on three proposed benchmark problems show that the GAs taking advantage of the natural problem decomposition; Coevolutionary GA, and Incremental GA outperform Standard GA, and that the relative encoding works better than the absolute encoding. The methods, the results, and the relevant parameter settings are discussed. More... »

PAGES

71-82

References to SciGraph publications

Book

TITLE

Evolutionary Computation in Combinatorial Optimization

ISBN

978-3-642-12138-8
978-3-642-12139-5

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-12139-5_7

DOI

http://dx.doi.org/10.1007/978-3-642-12139-5_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003446658


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Aker Solutions (Norway)", 
          "id": "https://www.grid.ac/institutes/grid.457413.0", 
          "name": [
            "Aker Solutions AS, P.O. Box 169, Snaroyveien 36, 1364, Fornebu, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Furuholmen", 
        "givenName": "Marcus", 
        "id": "sg:person.010175744106.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010175744106.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glette", 
        "givenName": "Kyrre", 
        "id": "sg:person.013707341363.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013707341363.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hovin", 
        "givenName": "Mats", 
        "id": "sg:person.011032744211.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011032744211.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torresen", 
        "givenName": "Jim", 
        "id": "sg:person.015401400130.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015401400130.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1162/106365600568086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003615653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-3615(98)00130-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003756168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008924832167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004928800", 
          "https://doi.org/10.1023/a:1008924832167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/kes-2008-12302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008961566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compchemeng.2005.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012285891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.asoc.2004.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017304061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-58484-6_269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021652390", 
          "https://doi.org/10.1007/3-540-58484-6_269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/800260.809014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026752189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/105971239700500305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030498648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/105971239700500305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030498648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-34403-9_23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032219772", 
          "https://doi.org/10.1007/0-387-34403-9_23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-61723-x_1064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037722413", 
          "https://doi.org/10.1007/3-540-61723-x_1064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01386390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041716633", 
          "https://doi.org/10.1007/bf01386390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0957-4174(02)00049-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043142397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0957-4174(02)00049-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043142397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1569901.1569997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043344440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1043679011", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-05094-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043679011", 
          "https://doi.org/10.1007/978-3-662-05094-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-05094-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043679011", 
          "https://doi.org/10.1007/978-3-662-05094-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0020-0190(02)00204-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045238653"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1143997.1144182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048291759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ms.2003.1241365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061420361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/t-c.1974.224054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061456029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tssc.1968.300136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061806130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/cec.2009.4983295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094921157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ccdc.2008.4598081", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095081601"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "In this study, three Genetic Algorithms (GAs) are applied to the Three-dimensional Multi-pipe Routing problem. A Standard GA, an Incremental GA, and a Coevolutionary GA are compared. Variable length pipelines are built by letting a virtual robot move in space according to evolved, fixed length command lines and allocate pipe segments along its route. A relative and an absolute encoding of the command lines are compared. Experiments on three proposed benchmark problems show that the GAs taking advantage of the natural problem decomposition; Coevolutionary GA, and Incremental GA outperform Standard GA, and that the relative encoding works better than the absolute encoding. The methods, the results, and the relevant parameter settings are discussed.", 
    "editor": [
      {
        "familyName": "Cowling", 
        "givenName": "Peter", 
        "type": "Person"
      }, 
      {
        "familyName": "Merz", 
        "givenName": "Peter", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-12139-5_7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-12138-8", 
        "978-3-642-12139-5"
      ], 
      "name": "Evolutionary Computation in Combinatorial Optimization", 
      "type": "Book"
    }, 
    "name": "Evolutionary Approaches to the Three-dimensional Multi-pipe Routing Problem: A Comparative Study Using Direct Encodings", 
    "pagination": "71-82", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003446658"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-12139-5_7"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "106b1b5b0e246eacb16f35715728a82ee945970a40529c5a9e509ade1087884d"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-12139-5_7", 
      "https://app.dimensions.ai/details/publication/pub.1003446658"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000357_0000000357/records_99330_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-642-12139-5_7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12139-5_7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12139-5_7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12139-5_7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12139-5_7'


 

This table displays all metadata directly associated to this object as RDF triples.

171 TRIPLES      23 PREDICATES      50 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-12139-5_7 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N9abc7abb6368454cb110752b47cf232e
4 schema:citation sg:pub.10.1007/0-387-34403-9_23
5 sg:pub.10.1007/3-540-58484-6_269
6 sg:pub.10.1007/3-540-61723-x_1064
7 sg:pub.10.1007/978-3-662-05094-1
8 sg:pub.10.1007/bf01386390
9 sg:pub.10.1023/a:1008924832167
10 https://app.dimensions.ai/details/publication/pub.1043679011
11 https://doi.org/10.1016/j.asoc.2004.08.003
12 https://doi.org/10.1016/j.compchemeng.2005.08.009
13 https://doi.org/10.1016/s0020-0190(02)00204-1
14 https://doi.org/10.1016/s0166-3615(98)00130-4
15 https://doi.org/10.1016/s0957-4174(02)00049-0
16 https://doi.org/10.1109/ccdc.2008.4598081
17 https://doi.org/10.1109/cec.2009.4983295
18 https://doi.org/10.1109/ms.2003.1241365
19 https://doi.org/10.1109/t-c.1974.224054
20 https://doi.org/10.1109/tssc.1968.300136
21 https://doi.org/10.1145/1143997.1144182
22 https://doi.org/10.1145/1569901.1569997
23 https://doi.org/10.1145/800260.809014
24 https://doi.org/10.1162/106365600568086
25 https://doi.org/10.1177/105971239700500305
26 https://doi.org/10.3233/kes-2008-12302
27 schema:datePublished 2010
28 schema:datePublishedReg 2010-01-01
29 schema:description In this study, three Genetic Algorithms (GAs) are applied to the Three-dimensional Multi-pipe Routing problem. A Standard GA, an Incremental GA, and a Coevolutionary GA are compared. Variable length pipelines are built by letting a virtual robot move in space according to evolved, fixed length command lines and allocate pipe segments along its route. A relative and an absolute encoding of the command lines are compared. Experiments on three proposed benchmark problems show that the GAs taking advantage of the natural problem decomposition; Coevolutionary GA, and Incremental GA outperform Standard GA, and that the relative encoding works better than the absolute encoding. The methods, the results, and the relevant parameter settings are discussed.
30 schema:editor Nf5585cfb63204e61ac08fc11777fa97d
31 schema:genre chapter
32 schema:inLanguage en
33 schema:isAccessibleForFree false
34 schema:isPartOf Nf88af5403bdd4211989dabe0963bc9cb
35 schema:name Evolutionary Approaches to the Three-dimensional Multi-pipe Routing Problem: A Comparative Study Using Direct Encodings
36 schema:pagination 71-82
37 schema:productId N86d8facc5bf64cf7ac1d73a8a7777317
38 Nc3de3b47b4f1419187304a1418eebd23
39 Ndbea5de41f71434aa47532cb092ff187
40 schema:publisher N062e496dced2452caed2a7db83159551
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003446658
42 https://doi.org/10.1007/978-3-642-12139-5_7
43 schema:sdDatePublished 2019-04-16T07:38
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher N94983927ddde4354bc427297e8bdcf6c
46 schema:url https://link.springer.com/10.1007%2F978-3-642-12139-5_7
47 sgo:license sg:explorer/license/
48 sgo:sdDataset chapters
49 rdf:type schema:Chapter
50 N062e496dced2452caed2a7db83159551 schema:location Berlin, Heidelberg
51 schema:name Springer Berlin Heidelberg
52 rdf:type schema:Organisation
53 N1cdb9a79b6314ddfa040bf12617a52cf rdf:first Neae4779117b141a080c40081465a55d8
54 rdf:rest rdf:nil
55 N47e0ce28d0f54f0f8308cfc0d827adcd rdf:first sg:person.013707341363.42
56 rdf:rest Nc427cf746d2e45a69974e3070772eee4
57 N86d8facc5bf64cf7ac1d73a8a7777317 schema:name doi
58 schema:value 10.1007/978-3-642-12139-5_7
59 rdf:type schema:PropertyValue
60 N87ad32850eac4496b7aebdae016308d1 schema:familyName Cowling
61 schema:givenName Peter
62 rdf:type schema:Person
63 N94983927ddde4354bc427297e8bdcf6c schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N9abc7abb6368454cb110752b47cf232e rdf:first sg:person.010175744106.77
66 rdf:rest N47e0ce28d0f54f0f8308cfc0d827adcd
67 Na1f1d1ce4c6f46618c0675511328a42c rdf:first sg:person.015401400130.51
68 rdf:rest rdf:nil
69 Na558d079d9fb4685b8b9bd11f865f077 schema:name Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway
70 rdf:type schema:Organization
71 Nc3de3b47b4f1419187304a1418eebd23 schema:name readcube_id
72 schema:value 106b1b5b0e246eacb16f35715728a82ee945970a40529c5a9e509ade1087884d
73 rdf:type schema:PropertyValue
74 Nc427cf746d2e45a69974e3070772eee4 rdf:first sg:person.011032744211.33
75 rdf:rest Na1f1d1ce4c6f46618c0675511328a42c
76 Ndbea5de41f71434aa47532cb092ff187 schema:name dimensions_id
77 schema:value pub.1003446658
78 rdf:type schema:PropertyValue
79 Neae4779117b141a080c40081465a55d8 schema:familyName Merz
80 schema:givenName Peter
81 rdf:type schema:Person
82 Nf5585cfb63204e61ac08fc11777fa97d rdf:first N87ad32850eac4496b7aebdae016308d1
83 rdf:rest N1cdb9a79b6314ddfa040bf12617a52cf
84 Nf6d05f8dc3374b4e8cde61d1f84d46a2 schema:name Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway
85 rdf:type schema:Organization
86 Nf88af5403bdd4211989dabe0963bc9cb schema:isbn 978-3-642-12138-8
87 978-3-642-12139-5
88 schema:name Evolutionary Computation in Combinatorial Optimization
89 rdf:type schema:Book
90 Nfd6b72e494fe408c8c463e5eded20a66 schema:name Department of Informatics, University of Oslo, P.O. Box 1080, 0316, Blindern, Oslo, Norway
91 rdf:type schema:Organization
92 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
93 schema:name Information and Computing Sciences
94 rdf:type schema:DefinedTerm
95 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
96 schema:name Artificial Intelligence and Image Processing
97 rdf:type schema:DefinedTerm
98 sg:person.010175744106.77 schema:affiliation https://www.grid.ac/institutes/grid.457413.0
99 schema:familyName Furuholmen
100 schema:givenName Marcus
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010175744106.77
102 rdf:type schema:Person
103 sg:person.011032744211.33 schema:affiliation Nf6d05f8dc3374b4e8cde61d1f84d46a2
104 schema:familyName Hovin
105 schema:givenName Mats
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011032744211.33
107 rdf:type schema:Person
108 sg:person.013707341363.42 schema:affiliation Nfd6b72e494fe408c8c463e5eded20a66
109 schema:familyName Glette
110 schema:givenName Kyrre
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013707341363.42
112 rdf:type schema:Person
113 sg:person.015401400130.51 schema:affiliation Na558d079d9fb4685b8b9bd11f865f077
114 schema:familyName Torresen
115 schema:givenName Jim
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015401400130.51
117 rdf:type schema:Person
118 sg:pub.10.1007/0-387-34403-9_23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032219772
119 https://doi.org/10.1007/0-387-34403-9_23
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/3-540-58484-6_269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021652390
122 https://doi.org/10.1007/3-540-58484-6_269
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/3-540-61723-x_1064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037722413
125 https://doi.org/10.1007/3-540-61723-x_1064
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/978-3-662-05094-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043679011
128 https://doi.org/10.1007/978-3-662-05094-1
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/bf01386390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041716633
131 https://doi.org/10.1007/bf01386390
132 rdf:type schema:CreativeWork
133 sg:pub.10.1023/a:1008924832167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004928800
134 https://doi.org/10.1023/a:1008924832167
135 rdf:type schema:CreativeWork
136 https://app.dimensions.ai/details/publication/pub.1043679011 schema:CreativeWork
137 https://doi.org/10.1016/j.asoc.2004.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017304061
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.compchemeng.2005.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012285891
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0020-0190(02)00204-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045238653
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0166-3615(98)00130-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003756168
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/s0957-4174(02)00049-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043142397
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1109/ccdc.2008.4598081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095081601
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1109/cec.2009.4983295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094921157
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1109/ms.2003.1241365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061420361
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1109/t-c.1974.224054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061456029
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1109/tssc.1968.300136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061806130
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1145/1143997.1144182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048291759
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1145/1569901.1569997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043344440
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1145/800260.809014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026752189
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1162/106365600568086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003615653
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1177/105971239700500305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030498648
166 rdf:type schema:CreativeWork
167 https://doi.org/10.3233/kes-2008-12302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008961566
168 rdf:type schema:CreativeWork
169 https://www.grid.ac/institutes/grid.457413.0 schema:alternateName Aker Solutions (Norway)
170 schema:name Aker Solutions AS, P.O. Box 169, Snaroyveien 36, 1364, Fornebu, Norway
171 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...