Multivarijabilni algoritam optimizacije podučavanjem-učenjem (MTLBO) za procjenu strukturnih parametara podzemnih objekata pomoću magnetskih podataka
U ovom radu je predstavljen prirodno utemeljen multivarijabilni algoritam optimizacije poučavanjem-učenjem (MTLBO). MTLBO algoritam tijekom iterativnog postupka može procijeniti najbolje vrijednosti parametara podzemnih struktura (model) u višepredmetnom problemu. Algoritam djeluje u dvije računske...
Saved in:
| Published in | Geofizika Vol. 37; no. 2; p. 213 |
|---|---|
| Main Authors | , |
| Format | Paper |
| Language | Croatian English |
| Published |
Andrija Mohorovicic Geophysical Institute
23.12.2020
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0352-3659 1846-6346 |
| DOI | 10.15233/gfz.2020.37.6 |
Cover
| Abstract | U ovom radu je predstavljen prirodno utemeljen multivarijabilni algoritam optimizacije poučavanjem-učenjem (MTLBO). MTLBO algoritam tijekom iterativnog postupka može procijeniti najbolje vrijednosti parametara podzemnih struktura (model) u višepredmetnom problemu. Algoritam djeluje u dvije računske faze: fazi učitelja i fazi učenika. Glavna svrha algoritma MTLBO je mijenjati naučene vrijednosti te poboljšavajući tako vrijednosti parametara modela dovesti do optimalnog rješenja. Varijable svakog učenika (model) su: dubina (z), koeficijent amplitude (k), faktor oblika (q), kut učinkovite magnetizacije (θ) i parametri osi (x0). U radu je korištena MTLBO metoda na podacima magnetskih anomalija uzrokovanih podzemnim strukturama jednostavnog geometrijskog oblika, poput sfere i vodoravno postavljenog cilindra. Učinkovitost MTLBO metode također je proučavana na šumom kontaminiranim sintetičkim podacima, budući da su dobiveni prihvatljivi rezultati. MTLBO metoda je primijenjena za interpretaciju četiri profila magnetske anomalije u Iranu, Brazilu i Indiji. |
|---|---|
| AbstractList | U ovom radu je predstavljen prirodno utemeljen multivarijabilni algoritam optimizacije poučavanjem-učenjem (MTLBO). MTLBO algoritam tijekom iterativnog postupka može procijeniti najbolje vrijednosti parametara podzemnih struktura (model) u višepredmetnom problemu. Algoritam djeluje u dvije računske faze: fazi učitelja i fazi učenika. Glavna svrha algoritma MTLBO je mijenjati naučene vrijednosti te poboljšavajući tako vrijednosti parametara modela dovesti do optimalnog rješenja. Varijable svakog učenika (model) su: dubina (z), koeficijent amplitude (k), faktor oblika (q), kut učinkovite magnetizacije (θ) i parametri osi (x0). U radu je korištena MTLBO metoda na podacima magnetskih anomalija uzrokovanih podzemnim strukturama jednostavnog geometrijskog oblika, poput sfere i vodoravno postavljenog cilindra. Učinkovitost MTLBO metode također je proučavana na šumom kontaminiranim sintetičkim podacima, budući da su dobiveni prihvatljivi rezultati. MTLBO metoda je primijenjena za interpretaciju četiri profila magnetske anomalije u Iranu, Brazilu i Indiji. |
| Abstract_FL | This paper presents a nature-based algorithm, titled multivariable teaching-learning-based optimization (MTLBO) algorithm. MTLBO algorithm during an iterative process can estimates the best values of the buried structure (model) parameters in a multi-objective problem. The algorithm works in two computational phases: the teacher phase and the learner phase. The major purpose of the MTLBO algorithm is to modify the value of the learners and thus, improving the value of the model parameters which leads to the optimal solution. The variables of each learner (model) are the depth (z), amplitude coefficient (k), shape factor (q), angle of effective magnetization (θ) and axis location (x0) parameters. We employ MTLBO method for the magnetic anomalies caused by the buried structures with a simple geometric shape such as sphere and horizontal cylinder. The efficiency of the MTLBO is also studied by noise corruption synthetic data, as the acceptable results were obtained. We have applied the MTLBO for the interpretation of the four magnetic anomaly profiles from Iran, Brazil and India. |
| Author | Sahebari, Sanaz Seyedi Eshaghzadeh, Ata |
| Author_xml | – sequence: 1 givenname: Ata orcidid: 0000-0003-0665-0517 surname: Eshaghzadeh fullname: Eshaghzadeh, Ata organization: Department of Geology, Faculty of Sciences, University of Isfahan, Isfahan, Iran – sequence: 2 givenname: Sanaz Seyedi surname: Sahebari fullname: Sahebari, Sanaz Seyedi organization: Roshdiyeh Higher Education Institute, Tabriz, Iran |
| BookMark | eNqVjL1OwzAURi1UJFJgZfYIQ4JjJ25YQSAGKpbu0W3qpnZiO_JPJfICTOw8UB-MRPACLPc7Ove7d4kWxhqB0E1OsrykjN23-zGjhJKMrTJ-hpK8KnjKWcEXKCGspCnj5cMFWnqvCGHFpBL0vY59kEdwUsFW9kZi6FvrZACN7RCkliM0Ugk82F08fcERjBI6nVDMgG_Xm7fH9zs8Ah6cbZQwEfvgYheiM_KAB3CgRZjm_GEUepZ2q0QHYVbanj4j1tAaEXw3H9jdtOngCp3voffi-i8vUfryvHl6TQ-uga4enNTgPmoLsv413jViwpoWFa9W7L_9H0Y5bqo |
| ContentType | Paper |
| DBID | VP8 |
| DOI | 10.15233/gfz.2020.37.6 |
| DatabaseName | Portal of Croatian Scientific and Professional Journals – HRČAK |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Physics |
| DocumentTitle_FL | Multivariable teaching-learning-based optimization (MTLBO) algorithm for estimating the structural parameters of the buried mass by magnetic data |
| EISSN | 1846-6346 |
| ExternalDocumentID | oai_hrcak_srce_hr_248687 |
| GroupedDBID | 02 29H 2WC 5GY ABDBF ABPTK ADACO ADBBV AENEX ALMA_UNASSIGNED_HOLDINGS BBORY BCNDV E3Z EBS EJD ESX GROUPED_DOAJ IAO MM- M~E OBODZ OK1 P2P RNS VP8 |
| ID | FETCH-hrcak_primary_oai_hrcak_srce_hr_2486873 |
| ISSN | 0352-3659 |
| IngestDate | Thu Dec 31 04:13:18 EST 2020 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | false |
| Issue | 2 |
| Language | Croatian English |
| License | cc-by-nc: openAccess |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-hrcak_primary_oai_hrcak_srce_hr_2486873 |
| Notes | 248687 |
| ORCID | 0000-0003-0665-0517 |
| OpenAccessLink | https://hrcak.srce.hr/248687 |
| ParticipantIDs | hrcak_primary_oai_hrcak_srce_hr_248687 |
| ProviderPackageCode | VP8 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-12-23 |
| PublicationDateYYYYMMDD | 2020-12-23 |
| PublicationDate_xml | – month: 12 year: 2020 text: 2020-12-23 day: 23 |
| PublicationDecade | 2020 |
| PublicationTitle | Geofizika |
| PublicationYear | 2020 |
| Publisher | Andrija Mohorovicic Geophysical Institute |
| Publisher_xml | – name: Andrija Mohorovicic Geophysical Institute |
| SSID | ssj0034035 |
| Score | 3.2253025 |
| Snippet | U ovom radu je predstavljen prirodno utemeljen multivarijabilni algoritam optimizacije poučavanjem-učenjem (MTLBO). MTLBO algoritam tijekom iterativnog... |
| SourceID | hrcak |
| SourceType | Open Access Repository |
| StartPage | 213 |
| SubjectTerms | magnetic magnetski MTLBO algoritam MTLBO algorithm multi-objective problem multi-objektni problem optimizacija optimization |
| Title | Multivarijabilni algoritam optimizacije podučavanjem-učenjem (MTLBO) za procjenu strukturnih parametara podzemnih objekata pomoću magnetskih podataka |
| URI | https://hrcak.srce.hr/248687 |
| Volume | 37 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bi9NQED7ULYJvXvHOeRBRQmrNSZO8bt1dF3FV2Ar7tkzSaXMxSWkTwfwBn_bdH1T8Xc7k1nSpUH05JCfJcM6Zj7kxMxHixUyZtuEOHX00A8UOiqmDcmY6mEDmMb61HcUFzmefrNOv5oeL0UWv97uTtZRn7sArdtaV_A9XaY74ylWy_8DZlihN0DXxl0biMI178bisnv1O3m7IfXKTQINv85S9_VhLSRTEQQFeEKK2SKd5aTUeARnOIcZ6fYt8w0bm2eTj-DNHCArglC0vxCTnOpI8IpWUBL7GLcJjzGhkagXGPJm6IUaQ8VSclhTtXIthnmC2ivijlBNQI-hawO-RtlwEUasOjlc-zP0CplhGeA6z9sk5cNvaqhT-HBIoSLL9IGXbjVQYZdZHVUxcYSuZ8nmQsPJTDpd4gceB_0WDxzY7oiMCyTzUlVX3DMdKRJPFpFuqDlzWMrxqHFNj1dgSyGqnoiD_mztWzGfFgJc6UPZgR0fua5pyqye3v_Qg4l8fI11eGqZjOfYN0TdIu5CC6B-Oj8YnjU2gzGH1q9dmP3X7UF7Fm601kI9UEu4YOZPbov8FFri8I3r-8q64WeYGe6t74td1mMkWZrILM8kwW1-1EFtflfCSr0pwvZYFyAZasgMtuYGWbKElG2hJhtb6Zy43sJINrO4L_eR48u5Urw5pUTVOufzbsakH4iBJE3wopOkMPdIKYKBlmZbhOt7IHVqAI8PEKdrWI_FyP5qP933xibi1AetTcUD7x2dkaGbu85qLfwACiJL6 |
| linkProvider | EBSCOhost |
| 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=Multivarijabilni+algoritam+optimizacije+podu%C4%8Davanjem-u%C4%8Denjem+%28MTLBO%29+za+procjenu+strukturnih+parametara+podzemnih+objekata+pomo%C4%87u+magnetskih+podataka&rft.jtitle=Geofizika&rft.au=Eshaghzadeh%2C+Ata&rft.au=Sahebari%2C+Sanaz+Seyedi&rft.date=2020-12-23&rft.pub=Andrija+Mohorovicic+Geophysical+Institute&rft.issn=0352-3659&rft.eissn=1846-6346&rft.volume=37&rft.issue=2&rft.spage=213&rft_id=info:doi/10.15233%2Fgfz.2020.37.6&rft.externalDBID=n%2Fa&rft.externalDocID=oai_hrcak_srce_hr_248687 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fhrcak.srce.hr%2Flogo_broj%2F19773.jpg |