Improved symbiotic organisms search algorithm for solving unconstrained function optimization

Recently, Symbiotic Organisms Search (SOS) algorithm is being used for solving complex problems of optimization. This paper proposes an Improved Symbiotic Organisms Search (I-SOS) algorithm for solving different complex unconstrained global optimization problems. In the improved algorithm, a random...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Decision Science Letters Ročník 5; číslo 3; s. 361 - 380
Hlavní autoři: Nama, Sukanta, Saha, Apu Kumar, Ghosh, Sima
Médium: Journal Article
Jazyk:angličtina
Vydáno: Growing Science 2016
Témata:
Population based algorithm
Random weighed reflection
Random weighted difference vector
Symbiotic organisms search
Unconstrained optimization
ISSN:1929-5804, 1929-5812
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Recently, Symbiotic Organisms Search (SOS) algorithm is being used for solving complex problems of optimization. This paper proposes an Improved Symbiotic Organisms Search (I-SOS) algorithm for solving different complex unconstrained global optimization problems. In the improved algorithm, a random weighted reflective parameter and predation phase are suggested to enhance the performance of the algorithm. The performances of this algorithm are compared with the other state-of-the-art algorithms. The parametric study of the common control parameter has also been performed.
AbstractList Recently, Symbiotic Organisms Search (SOS) algorithm is being used for solving complex problems of optimization. This paper proposes an Improved Symbiotic Organisms Search (I-SOS) algorithm for solving different complex unconstrained global optimization problems. In the improved algorithm, a random weighted reflective parameter and predation phase are suggested to enhance the performance of the algorithm. The performances of this algorithm are compared with the other state-of-the-art algorithms. The parametric study of the common control parameter has also been performed.
Author Saha, Apu Kumar
Nama, Sukanta
Ghosh, Sima
Author_xml – sequence: 1
  givenname: Sukanta
  surname: Nama
  fullname: Nama, Sukanta
– sequence: 2
  givenname: Apu Kumar
  surname: Saha
  fullname: Saha, Apu Kumar
– sequence: 3
  givenname: Sima
  surname: Ghosh
  fullname: Ghosh, Sima
BookMark eNp1kEtLAzEUhYNUsNbuXc4f6JhkMkmzlOKjUHCjSwl38mhTZiYlGQv115u26kJwde-5cA73fNdo1IfeInRLcFlTLu62pUltSTHhJS0xZhdoTCSVs3pO6Oh3x-wKTVPyDa6xqDAnfIzel90uhr01RTp0jQ-D10WIa-h96lKRLES9KaBdh-iHTVe4EIsU2r3v18VHr0Ofhgi-z3aX5eBDX4Td4Dv_CUdxgy4dtMlOv-cEvT0-vC6eZ6uXp-XifjXTlHM2k5A_N5JAo50T1sq55dLU3GFjNM5asEZQS7VthJFzo1lDWG2k0bUQFYNqgpbnXBNgq3bRdxAPKoBXp0MupCDmaq1VQlbU1hUYyTQjgkkhnHTMVo4AEJA5i5-zdAwpReuU9sOpzbFqqwhWR-ZqqzJzdWSuqMrMsxH_Mf488q_lC5f_iyk
CitedBy_id crossref_primary_10_1007_s10586_022_03594_3
crossref_primary_10_1007_s12065_020_00476_8
crossref_primary_10_1007_s11042_020_10053_x
crossref_primary_10_1155_2018_3729360
crossref_primary_10_1007_s00500_021_06560_0
crossref_primary_10_1111_coin_12290
crossref_primary_10_1007_s10489_017_1016_y
crossref_primary_10_1007_s10462_021_10078_0
crossref_primary_10_3390_app122413019
crossref_primary_10_1007_s12652_023_04540_w
crossref_primary_10_1016_j_jnca_2019_02_005
crossref_primary_10_1108_IJCST_07_2022_0087
crossref_primary_10_1007_s00521_019_04170_4
crossref_primary_10_1007_s10489_020_01974_z
crossref_primary_10_1007_s10462_019_09733_4
crossref_primary_10_1007_s12065_020_00529_y
crossref_primary_10_1016_j_knosys_2021_107779
crossref_primary_10_1080_19386362_2019_1598015
crossref_primary_10_1371_journal_pone_0272861
crossref_primary_10_1007_s12652_021_03183_z
crossref_primary_10_1007_s00500_019_04234_6
crossref_primary_10_1007_s12065_021_00650_6
crossref_primary_10_3390_s22041674
crossref_primary_10_1109_ACCESS_2019_2953800
crossref_primary_10_1007_s42235_022_00175_3
crossref_primary_10_1016_j_future_2017_05_024
crossref_primary_10_1049_iet_cds_2018_5514
crossref_primary_10_1016_j_asoc_2017_02_032
crossref_primary_10_1002_jnm_2323
crossref_primary_10_1016_j_eswa_2018_10_045
crossref_primary_10_1109_ACCESS_2018_2886408
crossref_primary_10_1007_s00366_021_01294_x
crossref_primary_10_1007_s11042_022_14077_3
Cites_doi 10.5267/j.dsl.2016.2.004
ContentType Journal Article
DBID AAYXX
CITATION
DOA
DOI 10.5267/j.dsl.2016.2.004
DatabaseName CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1929-5812
EndPage 380
ExternalDocumentID oai_doaj_org_article_7932e53ad94c4174977f9f4e3f1aa1a9
10_5267_j_dsl_2016_2_004
GroupedDBID 5VS
AAYXX
ADBBV
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
GROUPED_DOAJ
IPNFZ
KQ8
OK1
RIG
ID FETCH-LOGICAL-c2664-9a016d91abcff7ee98e69d56f0ddc0ee974b72e2ceb7d98dc4b145d9dc57734a3
IEDL.DBID DOA
ISSN 1929-5804
IngestDate Fri Oct 03 12:46:28 EDT 2025
Sat Nov 29 02:26:57 EST 2025
Tue Nov 18 22:33:19 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 3
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c2664-9a016d91abcff7ee98e69d56f0ddc0ee974b72e2ceb7d98dc4b145d9dc57734a3
OpenAccessLink https://doaj.org/article/7932e53ad94c4174977f9f4e3f1aa1a9
PageCount 20
ParticipantIDs doaj_primary_oai_doaj_org_article_7932e53ad94c4174977f9f4e3f1aa1a9
crossref_citationtrail_10_5267_j_dsl_2016_2_004
crossref_primary_10_5267_j_dsl_2016_2_004
PublicationCentury 2000
PublicationDate 2016-00-00
PublicationDateYYYYMMDD 2016-01-01
PublicationDate_xml – year: 2016
  text: 2016-00-00
PublicationDecade 2010
PublicationTitle Decision Science Letters
PublicationYear 2016
Publisher Growing Science
Publisher_xml – name: Growing Science
References ref1
References_xml – ident: ref1
  doi: 10.5267/j.dsl.2016.2.004
SSID ssib050730616
ssj0001258401
Score 2.200938
Snippet Recently, Symbiotic Organisms Search (SOS) algorithm is being used for solving complex problems of optimization. This paper proposes an Improved Symbiotic...
SourceID doaj
crossref
SourceType Open Website
Enrichment Source
Index Database
StartPage 361
SubjectTerms Population based algorithm
Random weighed reflection
Random weighted difference vector
Symbiotic organisms search
Unconstrained optimization
Title Improved symbiotic organisms search algorithm for solving unconstrained function optimization
URI https://doaj.org/article/7932e53ad94c4174977f9f4e3f1aa1a9
Volume 5
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1929-5812
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001258401
  issn: 1929-5804
  databaseCode: DOA
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1929-5812
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib050730616
  issn: 1929-5804
  databaseCode: M~E
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV27TsMwFLVQxQAD4inKSx5YGNLGjh3HI6BWLFQMIHVBkeMHFLUNagoSC9_OdRyqsMDCEimRbTknJznHdnwvQueCJtISZ6ME_HzEOBWRNMJFhKQudlIzI1SdbEKMRtl4LO9aqb78P2EhPHAArg_8oZYnykimGdhn8CtOOmYTR5Qiqt66FwvZGkwBk7gnbtoYnzDbAkJb50IGRyMjnsUsrFlymor-S89UfhmCpD0fvpP90KhWKP9ac4bbaKsxi_gydHIHrdn5LtpshRDcQ49hVsAaXH3MikkJJXHI1FTNKhx4jNX0qVxMls8zDBYVA9v8LAIGRfPm0OeIgOpe4PxDwiV8RGbN7sx99DAc3F_fRE3KhEiD0rJIKrgJI4kqtHPCWpnZVBoOuBujYzgXrBDUUm0LYWRmNCsI40YazYVImEoOUGdezu0hwlwYRalUhQSVBzQzBWLPBLz00IISpIv63yDluokn7rs8zWFc4WGFcQXAmntYc5oDrF10sarxGmJp_FL2yuO-KuejYNcXAMK84Ub-FzeO_qORY7ThuxWmXU5QZ7l4s6doXb8vJ9XirKYdHG8_B1_G_twh
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Improved+symbiotic+organisms+search+algorithm+for+solving+unconstrained+function+optimization&rft.jtitle=Decision+Science+Letters&rft.au=Nama%2C+Sukanta&rft.au=Saha%2C+Apu+Kumar&rft.au=Ghosh%2C+Sima&rft.date=2016&rft.issn=1929-5804&rft.eissn=1929-5812&rft.spage=361&rft.epage=380&rft_id=info:doi/10.5267%2Fj.dsl.2016.2.004&rft.externalDBID=n%2Fa&rft.externalDocID=10_5267_j_dsl_2016_2_004
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1929-5804&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1929-5804&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1929-5804&client=summon