Librarian View
Last updated in SearchWorks on December 4, 2023 12:30pm
LEADER 09588cam a2200841 i 4500
001
a14007507
003
SIRSI
006
m o d
007
cr cnu|||unuuu
008
170407s2017 sz a o 101 0 eng d
035
a| (Sirsi) a14007507
040
a| GW5XE
b| eng
e| rda
e| pn
c| GW5XE
d| YDX
d| NJR
d| OCLCF
d| OCLCO
d| AZU
d| UPM
d| UAB
d| ESU
d| JG0
d| COO
d| OTZ
d| OCLCQ
d| VT2
d| IOG
d| U3W
d| CAUOI
d| KSU
d| CRU
d| UCW
d| TFW
d| OCLCQ
d| AU@
d| WYU
d| EBLCP
d| OCLCQ
d| UKMGB
d| OCLCQ
d| ERF
d| OCLCQ
d| SRU
d| OCLCO
d| OCLCQ
d| CSt
015
a| GBB8M3099
2| bnb
016
7
a| 019137396
2| Uk
020
a| 9783319557922
q| (electronic bk.)
020
a| 3319557920
q| (electronic bk.)
020
z| 9783319557915
q| (print)
020
z| 3319557912
020
z| 331955848X
020
z| 9783319558486
024
7
a| 10.1007/978-3-319-55792-2
2| doi
035
a| (OCoLC)981908911
z| (OCoLC)981812518
z| (OCoLC)981958834
z| (OCoLC)982008636
z| (OCoLC)984872445
z| (OCoLC)1005749620
z| (OCoLC)1012044921
z| (OCoLC)1048188739
z| (OCoLC)1049849342
z| (OCoLC)1058390267
z| (OCoLC)1066476876
z| (OCoLC)1081223856
z| (OCoLC)1086421606
z| (OCoLC)1112531703
037
a| com.springer.onix.9783319557922
b| Springer Nature
050
4
a| QA76.9.A43
b| E95 2017eb
072
7
a| UMB
2| bicssc
072
7
a| COM051300
2| bisacsh
082
0
4
a| 005.1
2| 23
049
a| MAIN
111
2
a| EvoApplications (Conference)
n| (20th :
d| 2017 :
c| Amsterdam, Netherlands)
245
1
0
a| Applications of evolutionary computation :
b| 20th European Conference, EvoApplications 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings.
n| Part II /
c| Giovanni Squillero, Kevin Sim et al. (eds.).
246
3
a| EvoApplications 2017
264
1
a| Cham, Switzerland :
b| Springer,
c| 2017.
300
a| 1 online resource (xxiv, 243 pages) :
b| illustrations
336
a| text
b| txt
2| rdacontent
337
a| computer
b| c
2| rdamedia
338
a| online resource
b| cr
2| rdacarrier
347
a| text file
347
b| PDF
490
1
a| Lecture notes in computer science,
x| 0302-9743 ;
v| 10200
490
1
a| LNCS sublibrary. SL 1, Theoretical computer science and general issues
500
a| Includes author index.
588
0
a| Online resource; title from PDF title page (SpringerLink, viewed April 7, 2017).
520
a| The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
505
0
a| EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming -- A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm.
650
0
a| Evolutionary computation
v| Congresses.
650
6
a| Réseaux neuronaux à structure évolutive
v| Congrès.
650
7
a| Artificial intelligence.
2| bicssc
650
7
a| Expert systems
x| knowledge-based systems.
2| bicssc
650
7
a| Systems analysis & design.
2| bicssc
650
7
a| Computer architecture & logic design.
2| bicssc
650
7
a| Algorithms & data structures.
2| bicssc
650
7
a| Computers
x| Intelligence (AI) & Semantics.
2| bisacsh
650
7
a| Computers
x| Expert Systems.
2| bisacsh
650
7
a| Computers
x| Information Technology.
2| bisacsh
650
7
a| Computers
x| Systems Architecture
x| General.
2| bisacsh
650
7
a| Computers
x| Logic Design.
2| bisacsh
650
7
a| Computers
x| Programming
x| Algorithms.
2| bisacsh
650
7
a| Evolutionary computation.
2| fast
0| (OCoLC)fst00917338
700
1
a| Squillero, Giovanni,
e| editor.
700
1
a| Sim, Kevin
c| (Lecturer in computing science),
e| editor.
776
0
8
i| Print version:
a| EvoApplications (Conference) (20th : 2017 : Amsterdam, Netherlands).
t| Applications of evolutionary computation.
d| Cham, Switzerland : Springer, 2017
z| 3319557912
z| 9783319557915
w| (OCoLC)973894885
830
0
a| Lecture notes in computer science ;
v| 10200.
x| 0302-9743
830
0
a| LNCS sublibrary.
n| SL 1,
p| Theoretical computer science and general issues.
856
4
0
z| Available to Stanford-affiliated users.
u| https://link.springer.com/10.1007/978-3-319-55792-2
x| WMS
y| SpringerLink
x| Provider: Springer
x| purchased
x| eLoaderURL
x| sp4
x| spocn981908911
994
a| 92
b| STF
905
0
a| EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines.- On the Use of Smelly Examples to Detect Code Smells in JavaScript.- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka.- Focusing Learning-based Testing away from Known Weaknesses.- Polytypic Genetic Programming.- Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach.- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time.- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times.- Pre-Scheduled Colony Size Variation in Dynamic Environments.- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet.- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology.- Road Traffic Rules Synthesis Using Grammatical Evolution.- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm.- General: Meta-Heuristics for Improved RF Emitter Localization.- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm.
1| Nielsen
x| 9783319557915
x| 20211004
920
b| The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments). .
1| Nielsen
x| 9783319557915
x| 20211004
596
a| 22
035
a| (Sirsi) spocn981908911
999
f
f
i| d606da04-bf6b-52cd-b6de-a32fe1d39574
s| 2e172f8c-df4a-5476-9c27-01163ba196c0
Holdings JSON
{ "holdings": [ { "id": "0a5b7c67-b9b6-5443-8f86-a3bf63d1cdcf", "hrid": "ah14007507_1", "notes": [ ], "_version": 1, "metadata": { "createdDate": "2023-08-21T21:07:01.104Z", "updatedDate": "2023-08-21T21:07:01.104Z", "createdByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766", "updatedByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766" }, "sourceId": "f32d531e-df79-46b3-8932-cdd35f7a2264", "boundWith": null, "formerIds": [ ], "illPolicy": null, "instanceId": "d606da04-bf6b-52cd-b6de-a32fe1d39574", "holdingsType": { "id": "996f93e2-5b5e-4cf2-9168-33ced1f95eed", "name": "Electronic", "source": "folio" }, "holdingsItems": [ ], "callNumberType": null, "holdingsTypeId": "996f93e2-5b5e-4cf2-9168-33ced1f95eed", "electronicAccess": [ ], "bareHoldingsItems": [ ], "holdingsStatements": [ ], "statisticalCodeIds": [ ], "administrativeNotes": [ ], "effectiveLocationId": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91", "permanentLocationId": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91", "suppressFromDiscovery": false, "holdingsStatementsForIndexes": [ ], "holdingsStatementsForSupplements": [ ], "location": { "effectiveLocation": { "id": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91", "code": "SUL-ELECTRONIC", "name": "online resource", "campus": { "id": "c365047a-51f2-45ce-8601-e421ca3615c5", "code": "SUL", "name": "Stanford Libraries" }, "details": { }, "library": { "id": "c1a86906-ced0-46cb-8f5b-8cef542bdd00", "code": "SUL", "name": "SUL" }, "isActive": true, "institution": { "id": "8d433cdd-4e8f-4dc1-aa24-8a4ddb7dc929", "code": "SU", "name": "Stanford University" } }, "permanentLocation": { "id": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91", "code": "SUL-ELECTRONIC", "name": "online resource", "campus": { "id": "c365047a-51f2-45ce-8601-e421ca3615c5", "code": "SUL", "name": "Stanford Libraries" }, "details": { }, "library": { "id": "c1a86906-ced0-46cb-8f5b-8cef542bdd00", "code": "SUL", "name": "SUL" }, "isActive": true, "institution": { "id": "8d433cdd-4e8f-4dc1-aa24-8a4ddb7dc929", "code": "SU", "name": "Stanford University" } } } } ], "items": [ ] }
FOLIO JSON
{ "pieces": [ null ], "instance": { "id": "d606da04-bf6b-52cd-b6de-a32fe1d39574", "hrid": "a14007507", "notes": [ { "note": "Includes author index", "staffOnly": false, "instanceNoteTypeId": "6a2533a7-4de2-4e64-8466-074c2fa9308c" }, { "note": "Online resource; title from PDF title page (SpringerLink, viewed April 7, 2017)", "staffOnly": false, "instanceNoteTypeId": "66ea8f28-d5da-426a-a7c9-739a5d676347" }, { "note": "The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments)", "staffOnly": false, "instanceNoteTypeId": "10e2e11b-450f-45c8-b09b-0f819999966e" }, { "note": "EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming -- A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm", "staffOnly": false, "instanceNoteTypeId": "5ba8e385-0e27-462e-a571-ffa1fa34ea54" } ], "title": "Applications of evolutionary computation : 20th European Conference, EvoApplications 2017, Amsterdam, the Netherlands, April 19-21, 2017, Proceedings. Part II / Giovanni Squillero, Kevin Sim et al. (eds.).", "series": [ "Lecture notes in computer science, 0302-9743 ; 10200", "LNCS sublibrary. SL 1, Theoretical computer science and general issues", "Lecture notes in computer science ; 10200. 0302-9743" ], "source": "MARC", "_version": 1, "editions": [ ], "metadata": { "createdDate": "2023-08-21T21:04:22.221Z", "updatedDate": "2023-08-21T21:04:22.221Z", "createdByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766", "updatedByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766" }, "statusId": "9634a5ab-9228-4703-baf2-4d12ebc77d56", "subjects": [ "Evolutionary computation Congresses", "Réseaux neuronaux à structure évolutive Congrès", "Artificial intelligence", "Expert systems knowledge-based systems", "Systems analysis & design", "Computer architecture & logic design", "Algorithms & data structures", "Computers Intelligence (AI) & Semantics", "Computers Expert Systems", "Computers Information Technology", "Computers Systems Architecture General", "Computers Logic Design", "Computers Programming Algorithms", "Evolutionary computation" ], "languages": [ "eng" ], "indexTitle": "Applications of evolutionary computation : 20th european conference, evoapplications 2017, amsterdam, the netherlands, april 19-21, 2017, proceedings. part ii", "identifiers": [ { "value": "(Sirsi) a14007507", "identifierTypeId": "7e591197-f335-4afb-bc6d-a6d76ca3bace" }, { "value": "9783319557922 (electronic bk.)", "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422" }, { "value": "3319557920 (electronic bk.)", "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422" }, { "value": "9783319557915 (print)", "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e" }, { "value": "3319557912", "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e" }, { "value": "331955848X", "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e" }, { "value": "9783319558486", "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e" }, { "value": "10.1007/978-3-319-55792-2 doi", "identifierTypeId": "2e8b3b6c-0e7d-4e48-bca2-b0b23b376af5" }, { "value": "10.1007/978-3-319-55792-2", "identifierTypeId": "ebfd00b6-61d3-4d87-a6d8-810c941176d5" }, { "value": "10.1007/978-3-319-55792-2", "identifierTypeId": "1795ea23-6856-48a5-a772-f356e16a8a6c" }, { "value": "(OCoLC)981908911", "identifierTypeId": "439bfbae-75bc-4f74-9fc7-b2a2d47ce3ef" }, { "value": "(OCoLC)981812518", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)981958834", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)982008636", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)984872445", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1005749620", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1012044921", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1048188739", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1049849342", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1058390267", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1066476876", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1081223856", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1086421606", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(OCoLC)1112531703", "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56" }, { "value": "(Sirsi) spocn981908911", "identifierTypeId": "7e591197-f335-4afb-bc6d-a6d76ca3bace" } ], "publication": [ { "role": "Publication", "place": "Cham, Switzerland", "publisher": "Springer", "dateOfPublication": "2017" } ], "contributors": [ { "name": "EvoApplications (Conference) (20th : 2017 : Amsterdam, Netherlands)", "primary": true, "contributorTypeId": "9f0a2cf0-7a9b-45a2-a403-f68d2850d07c", "contributorNameTypeId": "e8b311a6-3b21-43f2-a269-dd9310cb2d0a" }, { "name": "Squillero, Giovanni", "primary": false, "contributorTypeId": "9deb29d1-3e71-4951-9413-a80adac703d0", "contributorTypeText": "editor.", "contributorNameTypeId": "2b94c631-fca9-4892-a730-03ee529ffe2a" }, { "name": "Sim, Kevin (Lecturer in computing science)", "primary": false, "contributorTypeId": "9deb29d1-3e71-4951-9413-a80adac703d0", "contributorTypeText": "editor.", "contributorNameTypeId": "2b94c631-fca9-4892-a730-03ee529ffe2a" } ], "catalogedDate": "2021-09-25", "staffSuppress": false, "instanceTypeId": "6312d172-f0cf-40f6-b27d-9fa8feaf332f", "previouslyHeld": false, "classifications": [ { "classificationNumber": "QA76.9.A43 E95 2017eb", "classificationTypeId": "ce176ace-a53e-4b4d-aa89-725ed7b2edac" }, { "classificationNumber": "005.1", "classificationTypeId": "42471af9-7d25-4f3a-bf78-60d29dcf463b" } ], "instanceFormats": [ ], "electronicAccess": [ { "uri": "https://link.springer.com/10.1007/978-3-319-55792-2", "name": "Resource", "linkText": "SpringerLink", "publicNote": "Available to Stanford-affiliated users", "relationshipId": "f5d0068e-6272-458e-8a81-b85e7b9a14aa" } ], "holdingsRecords2": [ ], "modeOfIssuanceId": "9d18a02f-5897-4c31-9106-c9abb5c7ae8b", "publicationRange": [ ], "statisticalCodes": [ ], "alternativeTitles": [ { "alternativeTitle": "EvoApplications 2017", "alternativeTitleTypeId": "35bbe7f2-1a49-11ed-861d-0242ac120002" } ], "discoverySuppress": false, "instanceFormatIds": [ "f5e8210f-7640-459b-a71f-552567f92369" ], "publicationPeriod": { "start": 2017 }, "statusUpdatedDate": "2023-08-21T21:04:22.200+0000", "statisticalCodeIds": [ ], "administrativeNotes": [ ], "physicalDescriptions": [ "1 online resource (xxiv, 243 pages) : illustrations", "text file", "PDF" ], "publicationFrequency": [ ], "suppressFromDiscovery": false, "natureOfContentTermIds": [ ] }, "holdingSummaries": [ { "poLineId": null, "orderType": null, "orderStatus": null, "poLineNumber": null, "orderSentDate": null, "orderCloseReason": null, "polReceiptStatus": null } ] }