A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks
This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance. Fuzzy dominance is used when implementing tournament selection within the genetic algorithm (GA). In the hybrid version, it is also used to carry out a Nelder-Mead sim...
Saved in:
| Published in: | IEEE transactions on evolutionary computation Vol. 12; no. 5; pp. 572 - 590 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY
IEEE
01.10.2008
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1089-778X, 1941-0026 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance. Fuzzy dominance is used when implementing tournament selection within the genetic algorithm (GA). In the hybrid version, it is also used to carry out a Nelder-Mead simplex-based local search. The proposed GA is shown to perform better than NSGA-II and SPEA-2 on standard benchmarks, as well as for the optimization of a genetic model for flowering time control in rice. Adding the local search achieves faster convergence, an important feature in computationally intensive optimization of gene networks. The hybrid version also compares well with ParEGO on a few other benchmarks. The proposed hybrid algorithm is then applied to estimate the parameters of an elaborate gene network model of flowering time control in Arabidopsis. Overall solution quality is quite good by biological standards. Tradeoffs are discussed between accuracy in gene activity levels versus in the plant traits that they influence. These tradeoffs suggest that data mining the Pareto front may be useful in bioinformatics. |
|---|---|
| AbstractList | This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance. Fuzzy dominance is used when implementing tournament selection within the genetic algorithm (GA). In the hybrid version, it is also used to carry out a Nelder-Mead simplex-based local search. The proposed GA is shown to perform better than NSGA-II and SPEA-2 on standard benchmarks, as well as for the optimization of a genetic model for flowering time control in rice. Adding the local search achieves faster convergence, an important feature in computationally intensive optimization of gene networks. The hybrid version also compares well with ParEGO on a few other benchmarks. The proposed hybrid algorithm is then applied to estimate the parameters of an elaborate gene network model of flowering time control in Arabidopsis. Overall solution quality is quite good by biological standards. Tradeoffs are discussed between accuracy in gene activity levels versus in the plant traits that they influence. These tradeoffs suggest that data mining the Pareto front may be useful in bioinformatics. The proposed hybrid algorithm is then applied to estimate the parameters of an elaborate gene network model of flowering time control in Arabidopsis. |
| Author | Zhanshan Dong Das, S. Koduru, P. Welch, S.M. Roe, J.L. Charbit, E. |
| Author_xml | – sequence: 1 givenname: P. surname: Koduru fullname: Koduru, P. organization: Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS – sequence: 2 surname: Zhanshan Dong fullname: Zhanshan Dong – sequence: 3 givenname: S. surname: Das fullname: Das, S. – sequence: 4 givenname: S.M. surname: Welch fullname: Welch, S.M. – sequence: 5 givenname: J.L. surname: Roe fullname: Roe, J.L. – sequence: 6 givenname: E. surname: Charbit fullname: Charbit, E. |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20739311$$DView record in Pascal Francis |
| BookMark | eNqF0kFvFCEUAOCJqYlt9W7ihZhYvcwKDAxw3Kxra9Lag9V4IwzzJmWdHabAVKt_XsatHnpYTxDe9x6E946Kg8EPUBTPCV4QgtXbq_WX1YJiLBeKCIrpo-KQKEZKjGl9kPdYqlII-fVJcRTjBmPCOFGHxa8lupj65HyzAZvcLaD1re-nfDCYcFd-ctuxhx_o7K4JrkXLcQze2GvU-YDSNaDLMbmt-2lmj3yH3rmugwBDcqZH65tpF7jwLfRxjp_CAOgjpO8-fItPi8ed6SM8u1-Pi8_v11ers_L88vTDanleWsZEKkGatuHCcllb0ba0Y5LUjFPVGkWUqVvcGSwMF8Ba0ZjGUtFw05JGNla1Fqrj4vWubn78zQQx6a2LFvreDOCnqKXguCKKqyxP9sqKMcUk-z-kuK4VxizDN3shEbzilEsiMn35gG78FIb8M1rWVAgiMc3o1T0y0Zq-C2awLuoxuG3uV75XVKoiJLt652zwMQbotHXpTzdSMK7XBOt5bPQ8NnoeG70bm5yIHyT-rb0n5cUuxQHAP85YraQU1W9hEdCQ |
| CODEN | ITEVF5 |
| CitedBy_id | crossref_primary_10_1145_3468266 crossref_primary_10_1016_j_engappai_2014_07_019 crossref_primary_10_1016_j_future_2018_10_046 crossref_primary_10_1016_j_swevo_2011_03_001 crossref_primary_10_1016_j_asoc_2012_11_003 crossref_primary_10_1016_j_ins_2010_09_026 crossref_primary_10_1016_j_energy_2010_09_014 crossref_primary_10_1109_TR_2020_2981419 crossref_primary_10_1016_j_eswa_2010_08_041 crossref_primary_10_1007_s40747_021_00609_1 crossref_primary_10_1016_j_tig_2012_06_003 crossref_primary_10_1016_j_eswa_2021_116304 crossref_primary_10_1109_TPWRD_2009_2035364 crossref_primary_10_1016_j_amc_2009_09_053 crossref_primary_10_4018_jaec_2013040101 crossref_primary_10_3390_su15129238 crossref_primary_10_1016_j_asoc_2014_12_032 crossref_primary_10_1016_j_neucom_2021_08_156 crossref_primary_10_1155_2015_873794 crossref_primary_10_1080_0305215X_2013_823194 crossref_primary_10_1007_s11227_016_1719_6 crossref_primary_10_4018_IJSIR_2019010102 crossref_primary_10_1155_2017_3020326 crossref_primary_10_32604_cmc_2021_018159 crossref_primary_10_1038_hdy_2013_52 crossref_primary_10_1007_s11227_013_1059_8 crossref_primary_10_1016_j_asoc_2011_05_016 crossref_primary_10_1016_j_asoc_2013_07_029 crossref_primary_10_1109_TSMCC_2011_2160941 crossref_primary_10_1007_s10898_016_0420_x |
| Cites_doi | 10.1109/TEVC.2005.851274 10.1007/BF03325101 10.1093/emboj/18.17.4679 10.1242/dev.124.19.3835 10.1109/CEC.2004.1330833 10.1007/3-540-36970-8_44 10.1017/CBO9780511541773 10.1109/TEVC.2003.810759 10.1007/3-540-44719-9_22 10.1016/S0165-1684(02)00473-5 10.1387/ijdb.052022ia 10.1016/S0378-4754(01)00364-0 10.1038/msb4100018 10.1109/4235.996017 10.1109/TEVC.2002.1011543 10.1162/106365600568158 10.1162/evco.1995.3.1.1 10.1007/3-540-44719-9_23 10.1145/1068009.1068073 10.1109/TEVC.2005.861417 10.1038/35074138 10.1007/978-3-540-24854-5_47 10.1109/TSMCA.2004.824873 10.1109/CEC.2001.934294 10.1109/CEC.2003.1299576 10.1109/TEVC.2003.810755 10.1016/j.jtbi.2004.11.038 10.1109/TEVC.2003.812220 10.1104/pp.010467 10.1109/4235.797969 10.2134/agronj2003.0071 10.1126/science.1091761 10.1162/evco.1999.7.3.205 10.1007/3-540-36970-8_35 10.1109/CEC.2004.1331153 10.1093/bioinformatics/bti672 10.2134/agronj1996.00021962008800050004x 10.1093/pcp/pcf156 10.1007/3-540-45356-3_82 10.1109/CEC.2002.1007057 10.1007/978-3-540-24854-5_37 10.1093/comjnl/7.4.308 10.1109/CEC.2006.1688340 10.1115/1.1803852 10.1071/AR05155 10.1186/1471-2105-4-30 10.1016/S1360-1385(02)00008-0 10.1109/TEVC.2005.850293 10.1109/CEC.2002.1004401 10.1007/978-3-540-31880-4_28 10.1126/science.1073374 10.1242/dev.126.6.1109 10.1016/j.agsy.2004.07.019 10.1109/TSMCB.2003.810908 10.1109/CEC.2002.1007013 10.1109/3477.662758 10.1137/S1052623496303470 10.1109/NAFIPS.2002.1018061 10.1098/rsif.2005.0083 10.1142/9789812567796_0018 10.1104/pp.103.034827 10.1126/science.1061320 10.1109/TEVC.2002.806166 10.1007/11844297_58 10.1007/978-3-540-31880-4_42 10.1016/S0377-2217(02)00401-0 10.1109/TEVC.2003.810758 |
| ContentType | Journal Article |
| Copyright | 2009 INIST-CNRS Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008 |
| Copyright_xml | – notice: 2009 INIST-CNRS – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008 |
| DBID | 97E RIA RIE AAYXX CITATION IQODW 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 P64 RC3 |
| DOI | 10.1109/TEVC.2008.917202 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Pascal-Francis Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database Biotechnology and BioEngineering Abstracts Genetics Abstracts |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering Genetics Abstracts Biotechnology and BioEngineering Abstracts |
| DatabaseTitleList | Technology Research Database Genetics Abstracts Technology Research Database Genetics Abstracts Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science Mathematics Applied Sciences |
| EISSN | 1941-0026 |
| EndPage | 590 |
| ExternalDocumentID | 2325409501 20739311 10_1109_TEVC_2008_917202 4469887 |
| Genre | orig-research |
| GroupedDBID | -~X .DC 0R~ 29I 4.4 5GY 5VS 6IF 6IK 6IL 6IN 97E AAJGR AARMG AASAJ AAWTH ABAZT ABJNI ABQJQ ABVLG ACGFO ACGFS ACIWK ADZIZ AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CHZPO CS3 EBS EJD HZ~ H~9 IEGSK IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P PQQKQ RIA RIE RIL RNS TN5 VH1 AAYXX CITATION IQODW RIG 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 P64 RC3 |
| ID | FETCH-LOGICAL-c447t-e8adb57c586c7dd2f48164529da919a6d0fa07a57e4d7babc27b5ad1b8bc9dce3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 43 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000260046900004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1089-778X |
| IngestDate | Thu Oct 02 11:44:53 EDT 2025 Sun Nov 09 11:10:11 EST 2025 Wed Oct 01 14:51:13 EDT 2025 Wed Oct 01 14:33:24 EDT 2025 Sun Nov 09 05:40:53 EST 2025 Mon Jul 21 09:17:21 EDT 2025 Sat Nov 29 03:13:45 EST 2025 Tue Nov 18 22:43:33 EST 2025 Tue Aug 26 16:47:25 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Keywords | Differential equation Evolutionary algorithm Biological model Multiobjective programming simplex Information extraction Network management Data mining Combinatorial optimization Modeling Convergence multiobjective optimization fuzzy dominance Genetics genomics hybrid algorithms Bioinformatics Local search Data analysis Pareto optimum Biological system modeling Dominance Data processing Graph theory Biological system Fuzzy logic Genetic algorithm Simplex method genetic algorithms (GAs) Genome Tournament |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c447t-e8adb57c586c7dd2f48164529da919a6d0fa07a57e4d7babc27b5ad1b8bc9dce3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
| PQID | 862771802 |
| PQPubID | 23500 |
| PageCount | 19 |
| ParticipantIDs | proquest_miscellaneous_34494849 proquest_miscellaneous_20669004 crossref_citationtrail_10_1109_TEVC_2008_917202 proquest_miscellaneous_875031959 proquest_miscellaneous_1753525817 pascalfrancis_primary_20739311 ieee_primary_4469887 proquest_journals_862771802 crossref_primary_10_1109_TEVC_2008_917202 |
| PublicationCentury | 2000 |
| PublicationDate | 2008-10-01 |
| PublicationDateYYYYMMDD | 2008-10-01 |
| PublicationDate_xml | – month: 10 year: 2008 text: 2008-10-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY – name: New York |
| PublicationTitle | IEEE transactions on evolutionary computation |
| PublicationTitleAbbrev | TEVC |
| PublicationYear | 2008 |
| Publisher | IEEE Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: Institute of Electrical and Electronics Engineers – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref57 ref13 ref56 ref12 ref15 ref58 ref14 ref53 ref11 cooper (ref2) 2002; 2 ref10 ratcliffe (ref77) 1999; 126 ref17 corne (ref47) 2000 zitzler (ref23) 2001 ref18 ravasz (ref9) 2002; 297 durand (ref36) 1999 ref51 özyer (ref19) 2004; 3261 hughes (ref54) 2001; 1993 blazquez (ref83) 1997; 124 ref46 ref45 ref86 ref42 ref85 ref41 ref44 ref87 ref43 ref49 dong (ref7) 2003 ref8 ref4 ref3 ref6 ref5 ref82 ref81 ref40 ref84 hughes (ref55) 2001; 2 ref80 ref79 ref35 ref34 khabzaoui (ref20) 2004; 2 ref37 ref75 ref74 ref30 ref33 handl (ref16) 2006 ref32 fieldsend (ref63) 2005 mendel (ref66) 2003; 83 tsutsui (ref39) 2001 corne (ref52) 2001 ref38 (ref1) 0 deb (ref68) 1996; 26 (ref76) 0 ref71 ref70 deb (ref67) 1995; 9 farina (ref59) 2003; 2632 ref72 ref24 ref26 ref69 ref25 ref64 tan (ref50) 2005 knowles (ref48) 2000 ref65 ref21 bleuler (ref73) 2003 köppen (ref62) 2005 ref28 renders (ref31) 1998; 28 ref27 ref29 hubley (ref22) 2003; 4 hill (ref78) 1910; 40 ref60 ref61 |
| References_xml | – ident: ref28 doi: 10.1109/TEVC.2005.851274 – ident: ref43 doi: 10.1007/BF03325101 – ident: ref81 doi: 10.1093/emboj/18.17.4679 – volume: 124 start-page: 3835 year: 1997 ident: ref83 article-title: LEAFY expression and flower initiation in Arabidopsis publication-title: Development doi: 10.1242/dev.124.19.3835 – ident: ref60 doi: 10.1109/CEC.2004.1330833 – ident: ref25 doi: 10.1007/3-540-36970-8_44 – ident: ref71 doi: 10.1017/CBO9780511541773 – ident: ref45 doi: 10.1109/TEVC.2003.810759 – volume: 9 start-page: 115 year: 1995 ident: ref67 article-title: Simulated binary crossover for continuous search space publication-title: Complex Systems – ident: ref56 doi: 10.1007/3-540-44719-9_22 – ident: ref27 doi: 10.1016/S0165-1684(02)00473-5 – ident: ref85 doi: 10.1387/ijdb.052022ia – ident: ref30 doi: 10.1016/S0378-4754(01)00364-0 – ident: ref11 doi: 10.1038/msb4100018 – ident: ref24 doi: 10.1109/4235.996017 – volume: 3261 start-page: 451 year: 2004 ident: ref19 article-title: Multi-objective genetic algorithm based clustering approach and its application to gene expression data publication-title: Proc 3rd Int Conf Advances Inf Syst – volume: 28 start-page: 73 year: 1998 ident: ref31 article-title: Hybrid methods using genetic algorithms for global optimization publication-title: IEEE Trans Syst Man Cybern Part-B – ident: ref41 doi: 10.1109/TEVC.2002.1011543 – year: 0 ident: ref76 – ident: ref44 doi: 10.1162/106365600568158 – start-page: 73 year: 2001 ident: ref39 article-title: Linkage learning in real-coded GAs with simplex crossover publication-title: Proc 5th Int Conf Artif Evol (EA'01) – ident: ref42 doi: 10.1162/evco.1995.3.1.1 – volume: 1993 start-page: 329 year: 2001 ident: ref54 article-title: Evolutionary multi-objective ranking with uncertainty and noise publication-title: Proc 1st Int Conf Evol Multi-Criterion Opt doi: 10.1007/3-540-44719-9_23 – year: 1999 ident: ref36 article-title: A combined Nelder-Mead simplex and genetic algorithm publication-title: Proc Genetic Evol Comput Conf (GECCO) – ident: ref38 doi: 10.1145/1068009.1068073 – ident: ref69 doi: 10.1109/TEVC.2005.861417 – ident: ref82 doi: 10.1038/35074138 – ident: ref13 doi: 10.1007/978-3-540-24854-5_47 – ident: ref61 doi: 10.1109/TSMCA.2004.824873 – volume: 83 start-page: 100 year: 2003 ident: ref66 article-title: Fuzzy logic systems for engineering, a tutorial publication-title: Proc IEEE – volume: 2 start-page: 963 year: 2001 ident: ref55 article-title: Constraint handling with uncertain and noisy multiobjective evolution publication-title: Proc Congr Evol Comput 2001 doi: 10.1109/CEC.2001.934294 – ident: ref12 doi: 10.1109/CEC.2003.1299576 – volume: 26 start-page: 30 year: 1996 ident: ref68 article-title: A combined genetic adaptive search (geneAS) for engineering design publication-title: Comput Sci Inf – ident: ref53 doi: 10.1109/TEVC.2003.810755 – ident: ref10 doi: 10.1016/j.jtbi.2004.11.038 – ident: ref49 doi: 10.1109/TEVC.2003.812220 – ident: ref79 doi: 10.1104/pp.010467 – ident: ref51 doi: 10.1109/4235.797969 – ident: ref5 doi: 10.2134/agronj2003.0071 – ident: ref86 doi: 10.1126/science.1091761 – start-page: 839 year: 2000 ident: ref48 article-title: The Pareto-envelope based selection algorithm for multiobjective optimization publication-title: Proc 6th Int Conf Parallel Problem Solving From Nature (PPSN VI) – ident: ref70 doi: 10.1162/evco.1999.7.3.205 – start-page: 494 year: 2003 ident: ref73 article-title: PISA-A platform and programming language independent interface for search algorithms publication-title: Evolutionary Multi-Criterion Optimization (EMO 2003) doi: 10.1007/3-540-36970-8_35 – ident: ref65 doi: 10.1109/CEC.2004.1331153 – ident: ref17 doi: 10.1093/bioinformatics/bti672 – ident: ref3 doi: 10.2134/agronj1996.00021962008800050004x – ident: ref72 doi: 10.1093/pcp/pcf156 – volume: 2632 start-page: 58 year: 2003 ident: ref59 article-title: Fuzzy optimality and evolutionary multi-objective optimization publication-title: Proc Evol Multi-Criterion Opt 2nd Int Conf EMO 2003 – start-page: 839 year: 2000 ident: ref47 article-title: The Pareto envelope based selection algorithm for multiobjective optimization publication-title: Proc Parallel Problem Solving from Nature VI Conf doi: 10.1007/3-540-45356-3_82 – ident: ref40 doi: 10.1109/CEC.2002.1007057 – ident: ref64 doi: 10.1007/978-3-540-24854-5_37 – ident: ref29 doi: 10.1093/comjnl/7.4.308 – ident: ref87 doi: 10.1109/CEC.2006.1688340 – ident: ref37 doi: 10.1115/1.1803852 – ident: ref6 doi: 10.1071/AR05155 – volume: 4 year: 2003 ident: ref22 article-title: Evolutionary algorithms for the selection of single nucleotide polymorphisms publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-4-30 – volume: 2 start-page: 1874 year: 2004 ident: ref20 article-title: A multicriteria genetic algorithm to analyze DNA microarray data publication-title: Proc Congr Evol Comput – year: 2006 ident: ref16 article-title: Multiobjective approaches to the data-driven analysis of biological systems – ident: ref84 doi: 10.1016/S1360-1385(02)00008-0 – start-page: 476 year: 2005 ident: ref63 article-title: Multi-objective optimization in the presence of uncertainty publication-title: Proc IEEE Congr Evol Comput – ident: ref15 doi: 10.1109/TEVC.2005.850293 – ident: ref58 doi: 10.1109/CEC.2002.1004401 – start-page: 399 year: 2005 ident: ref62 article-title: Fuzzy-Pareto-dominance and its application in evolutionary multi-objective optimization publication-title: Proc Evol Multi-Criterion Opt 3rd Int Conf doi: 10.1007/978-3-540-31880-4_28 – year: 0 ident: ref1 – volume: 297 start-page: 1551 year: 2002 ident: ref9 article-title: Hierarchical organization of modularity in metabolic networks publication-title: Science doi: 10.1126/science.1073374 – volume: 40 start-page: iv year: 1910 ident: ref78 article-title: The possible effect of aggregation of molecules of hemoglobin on its dissociation curves publication-title: J Physiology – volume: 126 start-page: 1109 year: 1999 ident: ref77 article-title: Separation of shoot and floral identity in Arabidopsis publication-title: Development doi: 10.1242/dev.126.6.1109 – ident: ref8 doi: 10.1016/j.agsy.2004.07.019 – volume: 2 start-page: 151 year: 2002 ident: ref2 article-title: The GP problem: Quantifying gene-to-phenotype relationships publication-title: Silico Biology – year: 2003 ident: ref7 article-title: Incorporation of genomic information into the simulation of flowering time in Arabidopsis thaliana – ident: ref34 doi: 10.1109/TSMCB.2003.810908 – ident: ref75 doi: 10.1109/CEC.2002.1007013 – ident: ref32 doi: 10.1109/3477.662758 – ident: ref74 doi: 10.1137/S1052623496303470 – ident: ref57 doi: 10.1109/NAFIPS.2002.1018061 – ident: ref26 doi: 10.1098/rsif.2005.0083 – year: 2005 ident: ref50 publication-title: Multiobjective Evolutionary Algorithms and Applications – ident: ref18 doi: 10.1142/9789812567796_0018 – ident: ref4 doi: 10.1104/pp.103.034827 – ident: ref80 doi: 10.1126/science.1061320 – ident: ref33 doi: 10.1109/TEVC.2002.806166 – ident: ref21 doi: 10.1007/11844297_58 – ident: ref14 doi: 10.1007/978-3-540-31880-4_42 – ident: ref35 doi: 10.1016/S0377-2217(02)00401-0 – ident: ref46 doi: 10.1109/TEVC.2003.810758 – year: 2001 ident: ref23 article-title: SPEA-2: Improving the strength Pareto approach publication-title: Proc EUROGEN 2001 Evol Methods for Des Opt Control with Applications to Industrial Problems – start-page: 283 year: 2001 ident: ref52 article-title: PESA-II: Region based selection in evolutionary multiobjective optimization publication-title: Proc Genetic Evol Comput Conf |
| SSID | ssj0014519 |
| Score | 2.1659808 |
| Snippet | This paper describes genetic and hybrid approaches for multiobjective optimization using a numerical measure called fuzzy dominance. Fuzzy dominance is used... The proposed hybrid algorithm is then applied to estimate the parameters of an elaborate gene network model of flowering time control in Arabidopsis. |
| SourceID | proquest pascalfrancis crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 572 |
| SubjectTerms | Applied sciences Arabidopsis Bioinformatics Biological system modeling Biology computing Combinatorics Combinatorics. Ordered structures Computer networks Computer science; control theory; systems Data mining Data processing. List processing. Character string processing Differential equations Exact sciences and technology Flows in networks. Combinatorial problems Fuzzy fuzzy dominance Genes Genetic algorithms genetic algorithms (GAs) Genomics Graph theory hybrid algorithms Information retrieval. Graph Mathematical models Mathematics Memory organisation. Data processing multiobjective optimization Networks Operational research and scientific management Operational research. Management science Optimization Organisms Oryza sativa Parameter estimation Sciences and techniques of general use Searching simplex Software Studies Theoretical computing |
| Title | A Multiobjective Evolutionary-Simplex Hybrid Approach for the Optimization of Differential Equation Models of Gene Networks |
| URI | https://ieeexplore.ieee.org/document/4469887 https://www.proquest.com/docview/862771802 https://www.proquest.com/docview/1753525817 https://www.proquest.com/docview/20669004 https://www.proquest.com/docview/34494849 https://www.proquest.com/docview/875031959 |
| Volume | 12 |
| WOSCitedRecordID | wos000260046900004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1941-0026 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014519 issn: 1089-778X databaseCode: RIE dateStart: 19970101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB61FQc4tKUFkRaKkbggETZJndg-rtqtelqQKGhvkZ9Sq2UDm92Kij-PJ3YiEN1K3CJ5ojxmPB57Zr4P4K1CWHNbuZRLLlJaGJUqR3XKcumjf-VsSQPZBJtO-WwmPm3B-6EXxlrbFZ_ZD3jZ5fJNo9d4VDaiSHfI2TZsM1aFXq0hY4AwKaGYXviIkc_6lGQmRleTr2ehatLvTYp4gNIvQR2nClZEytb_FBfYLP5xzN1qc7H3f--5D7sxqiTjYAZPYcsuDmCvZ2wgcQIfwJM_4AcP4deYdP23jboJbo9MbqMlyuVd-vkakYN_kss77Ooi44g-TnyYS3zYSD56b_MttnGSxpHzyLXifcacTH4EDHGCZGvzFscR4ZpMQ9l5-wy-XEyuzi7TSMaQakrZKrVcGlUyXfJKM2MKR3mOSVFhpMiFrEzmZMZkySw1TEmlC6ZKaXLFlRZG29PnsLNoFvYFEKek3xflssp0SV0lpXWFKJRkLqPKhwwJjHr91DoilSNhxrzudiyZqFGjgUAzaDSBd8Md3wNKxwOyh6ixQS4qK4GTv0xgGC860MA8T-C4t4k6zvO29vtBxhBEL4E3w6ifoJh1kQvbrNsaoVDLouS5f8TrDTKIqS-8u9oscUoRx4eKBMgGCY4ZaYQKOrr_A4_hcdFj-eYvYWe1XNtX8Ejfrq7b5Uk3mX4D-schAA |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3fb9MwED6NgQQ8MNhAhMFmJF6QCE08J7Yfq9GpiFGQKKhvke3Y0lBpoWknJv55fLETgaBIvEXyRflx5_PZd_d9AM80wprb0qVCCZkyWutUO2ZSnisf_WtnCxbIJvhkImYz-X4HXvS9MNbatvjMvsTLNpdfL80Gj8oGDOkOBb8G1wvGaBa6tfqcAQKlhHJ66WNGMeuSkpkcTEefTkPdpN-d0HiE0i1CLasK1kSqxv8WF_gs_nDN7Xpztvd_b3oX7sS4kgyDIdyDHbvYh72Os4HEKbwPt38BIDyAH0PSduAu9efg-MjoMtqiWl2lHy4QO_g7GV9hXxcZRvxx4gNd4gNH8s77my-xkZMsHXkV2Va815iT0beAIk6Qbm3e4DhiXJNJKDxv7sPHs9H0dJxGOobUMMbXqRWq1gU3hSgNr2vqmMgxLSprJXOpyjpzKuOq4JbVXCttKNeFqnMttJG1sScPYHexXNiHQJxWfmeUqzIzBXOlUtZRSbXiLmPaBw0JDDr9VCZilSNlxrxq9yyZrFCjgUIzaDSB5_0dXwNOxz9kD1BjvVxUVgJHv5lAP05b2MA8T-Cws4kqzvSm8jtCzhFGL4Gn_aifoph3UQu73DQVgqEWtBC5f8TxFhlE1ZfeYW2XOGGI5MNkAmSLhMCcNIIFPfr7Bx7DzfH07Xl1_nry5hBu0Q7ZN38Mu-vVxj6BG-ZyfdGsjtqJ9RMUriRH |
| 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=A+Multiobjective+Evolutionary-Simplex+Hybrid+Approach+for+the+Optimization+of+Differential+Equation+Models+of+Gene+Networks&rft.jtitle=IEEE+transactions+on+evolutionary+computation&rft.au=Koduru%2C+P&rft.au=Dong%2C+Zhanshan&rft.au=Das%2C+S&rft.au=Welch%2C+S+M&rft.date=2008-10-01&rft.issn=1089-778X&rft.volume=12&rft.issue=5&rft_id=info:doi/10.1109%2FTEVC.2008.917202&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1089-778X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1089-778X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1089-778X&client=summon |