Data Assimilation of a Biological Model Using Genetic Algorithms

In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Gene...

Full description

Saved in:
Bibliographic Details
Published inApplications and Innovations in Intelligent Systems XIV pp. 238 - 242
Main Authors Thakur, Manoj, Deep, Kusum
Format Book Chapter
LanguageEnglish
Published United Kingdom Springer London, Limited 2006
Springer London
Subjects
Artificial intelligence
Binary Genetic Algorithm
Data Assimilation
Genetic Algorithm
Hybrid Evolutionary Algorithm
Multimodal Optimization Problem
Online AccessGet full text
ISBN9781846286650
1846286654
DOI10.1007/978-1-84628-666-7_20

Cover

Abstract In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Genetic Algorithms have been used to obtain the results.The comparative study showsthat the Real Genetic Algorithm is more promising.
AbstractList In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation is formulated as an optimization problem, which is highly non linearand multimodal in nature. Binary Genetic Algorithms as well as Real Genetic Algorithms have been used to obtain the results.The comparative study showsthat the Real Genetic Algorithm is more promising.
Author Deep, Kusum
Thakur, Manoj
Author_xml – sequence: 1
  givenname: Manoj
  surname: Thakur
  fullname: Thakur, Manoj
  email: manojdma@iitr.emet.in
  organization: Department of Mathematics, Indian Institute of Technology, Roorkee, (India)
– sequence: 2
  givenname: Kusum
  surname: Deep
  fullname: Deep, Kusum
  email: kusumfma@iitr.ernet.in
  organization: Department of Mathematics, Indian Institute of Technology, Roorkee, (India)
BookMark eNpVkM1OwzAQhI34EaXkDTj4BQz-zTo3SoGCVMQBOFuOa7eGNA5xeH_Slgt7Ge1Is9r5LtBJm1qP0BWj14xSuKlAE0a0LLkmZVkSMJweoWK02d4cPTj-tyt6hiYlVZWWTOlzVOT8SceRQnCgE3R7bweLZznHbWzsEFOLU8AW38XUpHV0tsEvaeUb_JFju8YL3_ohOjxr1qmPw2abL9FpsE32xZ9O0dvjw_v8iSxfF8_z2ZJ0GigJlQdRSbBQ1aBqrZz2ntOgQ9AVgFgJ5WqqQyl5HSAwWYoA0tLglHNciynih6u568c_fG_qlL6yYdTswJixsWFm39mMEMwOzBgSh1DXp-8fnwfjdynn26G3jdvYbvB9NgoYV9xwKQ0XlfgFTvNmUw
ContentType Book Chapter
Copyright Springer-Verlag London Limited 2007
Copyright_xml – notice: Springer-Verlag London Limited 2007
DBID FFUUA
DEWEY 006.3/3
DOI 10.1007/978-1-84628-666-7_20
DatabaseName ProQuest Ebook Central - Book Chapters - Demo use only
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Computer Science
EISBN 9781846286667
1846286662
Editor Allen, Tony
Tuson, Andrew
Ellis, Richard
Editor_xml – sequence: 1
  fullname: Allen, Tony
– sequence: 2
  fullname: Ellis, Richard
– sequence: 3
  fullname: Tuson, Andrew
EndPage 242
ExternalDocumentID EBC571252_244_239
GroupedDBID -T.
089
0D6
0DA
0E8
20A
38.
A4J
AABBV
AAHDE
AAJYQ
AATVQ
AAUKK
ABBUY
ABCYT
ABMNI
ACAMX
ACBPT
ACDTA
ACDUY
ACFGI
ADQVG
ADVHH
AEHEY
AEHWL
AEJLV
AEKFX
AETDV
AEZAY
AGNDD
AHNNE
ALMA_UNASSIGNED_HOLDINGS
ATJMZ
AZZ
BBABE
CZZ
FFUUA
IEZ
JJU
LZA
MYL
NUP
SBO
TPJZQ
UR3
Z5O
Z7R
Z7S
Z7U
Z7V
Z7W
Z7X
Z7Y
Z7Z
Z81
Z82
Z83
Z84
Z85
Z87
Z88
ID FETCH-LOGICAL-p870-f9e73947a79b75b85c8ee20f8ff89773d35cb08f642bf7f1463f74a0fc5cc283
ISBN 9781846286650
1846286654
IngestDate Tue Jul 29 19:56:12 EDT 2025
Tue Jul 22 08:41:16 EDT 2025
IsPeerReviewed false
IsScholarly false
LCCallNum Q334-342
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-p870-f9e73947a79b75b85c8ee20f8ff89773d35cb08f642bf7f1463f74a0fc5cc283
OCLC 605984158
PQID EBC571252_244_239
PageCount 5
ParticipantIDs springer_books_10_1007_978_1_84628_666_7_20
proquest_ebookcentralchapters_571252_244_239
PublicationCentury 2000
PublicationDate 2006
2007
PublicationDateYYYYMMDD 2006-01-01
2007-01-01
PublicationDate_xml – year: 2006
  text: 2006
PublicationDecade 2000
PublicationPlace United Kingdom
PublicationPlace_xml – name: United Kingdom
– name: London
PublicationSubtitle Proceedings of AI-2006, the Twenty-Sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
PublicationTitle Applications and Innovations in Intelligent Systems XIV
PublicationYear 2006
2007
Publisher Springer London, Limited
Springer London
Publisher_xml – name: Springer London, Limited
– name: Springer London
SSID ssj0000433270
Score 1.3112621
Snippet In this paper the calibration of well known biological system namely Lotka-Volterra model is done using Genetic Algorithms. The problem of parameter estimation...
SourceID springer
proquest
SourceType Publisher
StartPage 238
SubjectTerms Artificial intelligence
Binary Genetic Algorithm
Data Assimilation
Genetic Algorithm
Hybrid Evolutionary Algorithm
Multimodal Optimization Problem
Title Data Assimilation of a Biological Model Using Genetic Algorithms
URI http://ebookcentral.proquest.com/lib/SITE_ID/reader.action?docID=571252&ppg=239&c=UERG
http://link.springer.com/10.1007/978-1-84628-666-7_20
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LTxsxELYaeikcoBRUHq186C012uzasXMjpKkSVHGBotws27uGSCGhsFz49Yy93kdChEQvq9XKu7Lms2dnPDPfIPQjiTQX3SwmqaCMUMNSolImYC2LNFPMwOb0bJ8X3dFfej5hk7r1na8uyfWJeV5bV_I_qMIzwNVVyb4D2eqj8ADuAV-4AsJwXTF-l49Zi_TiRug5ZPWWDU59juu4ItvMS17y9mR83Vwjv1SuHEDTu-msMh1V6E_p0XOt0mbtIq_AMVQ7etf-7GbxMM1v794-MiiPDNt1x5DlaqrCuQTfz9Wtdgti2Feqts6u6BA_koAnRLiMo_rXUobT44KwaIXZeng2YBwMrFiCjSHdmPt_xPUDc3Hz0BylhVpcgP762B-e_7muTs887RqPCk6AYpY0EHhVs24USq6b5ZJLsRIF98bF1Q7acgUn2FWCwLw_ow_ZfBdtl-02cNC-u2izwR35BZ068HATPLywWOEaPOzBwx48HMDDNXh76PL38GowIqEdBrkHpUpsL-NJj3LFe5ozLZgRWRZHVlgrwIhP0oQZHQkLDqW23MImSyynKrKGGQNG5D7amC_m2VeELbxrwFGmXBva0VYIw3jPecKgzFVCD9DPUjLSh-xDnrAp5PAol1E7QO1SetKNfpQlFTaIXXakF7sEsUsn9sP3ffwIfapX8DHayB-esm9gBub6e1gTLz0kWI4
linkProvider Library Specific Holdings
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%3Abook&rft.genre=bookitem&rft.title=Applications+and+Innovations+in+Intelligent+Systems+XIV&rft.atitle=Data+Assimilation+of+a+Biological+Model+Using+Genetic+Algorithms&rft.date=2006-01-01&rft.pub=Springer+London%2C+Limited&rft.isbn=9781846286650&rft_id=info:doi/10.1007%2F978-1-84628-666-7_20&rft.externalDBID=239&rft.externalDocID=EBC571252_244_239
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Febookcentral.proquest.com%2Fcovers%2F571252-l.jpg