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Flower Pollination and Elitism Algorithms for Inversion of TDEM Data

Journal of Mathematical and Fundamental Sciences · Vol. 54 No. 1 (2022) · hlm. 121–137

DOI
10.5614/j.math.fund.sci.2022.54.1.7
ISSN
2338-5510, 2337-5760
Terbit
2022-08-30
Penerbit
Directorate for Research and Innovation (DRI) ITB
Bahasa
eng

Abstrak

Hybridization of algorithms can enhance the overall search capabilities to get the optimal solution. The aim of this study was to invert Time Domain Electromagnetic (TDEM) data using the Flower Pollination Algorithm (FPA) as a new inversion scheme technique. FPA was originally inspired by the fertilization process of flowers, in which pollen transfer grains from male flowers to female flowers. The modeling of TDEM data was done by combining the FPA and elitism (eFPA) techniques. The applicability was tested on forward modeling data and observed data in MATLAB 2017a. In testing the algorithm, we used a model from homogeneous half space to a multi-layer model using different parameters (resistivity and thickness). In addition, in the inversion process, we used field data with various starting model approaches. Based on the results of the TDEM data modeling, FPA and eFPA can both be applied as algorithmic techniques for inversion modeling of TDEM data. The eFPA technique gave better results than FPA.

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  • Bandung Institute of Technology
  • National Research and Innovation Agency
  • Universitas Pattimura
  • Padjadjaran University
  • Sumatera Institute of Technology
  • Universitas Pembangunan Nasional Veteran Yogyakarta
  • Lambung Mangkurat University
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Rekan penulisOrganisasiArtikel bersama
Warsa WarsaBandung Institute of Technology3
Samsul BahriUniversitas Pattimura2
Harnanti Yogaputri HutamiSumatera Institute of Technology2
Handoyo HandoyoSumatera Institute of Technology2
Yatini YatiniUniversitas Pembangunan Nasional Veteran Yogyakarta2
Agus LaesanpuraBandung Institute of Technology2
Budi SulistijoBandung Institute of Technology2
Irwan IskandarBandung Institute of Technology2
Sudarningsih SudarningsihLambung Mangkurat University2
Satria BijaksanaBandung Institute of Technology2
Wawan Gunawan A. KadirBandung Institute of Technology2
Grace TuhumuryUniversitas Pattimura1
Fourier Dzar Eljabbar LatiefBandung Institute of Technology1
R RizkiSumatera Institute of Technology1
R. FauziNational Research and Innovation Agency1
Heri SyaefulNational Research and Innovation Agency1
I Gde SukadanaNational Research and Innovation Agency1
Kurnia Setiawan WidanaNational Research and Innovation Agency1
Ngadenin NgadeninNational Research and Innovation Agency1
Frederikus Dian IndrastomoNational Research and Innovation Agency1
Kartika Hajar KiranaPadjadjaran University1
Darharta DahrinBandung Institute of Technology1
Silvia Jannatul FajarBandung Institute of Technology1
Raghel YungingerState University of Gorontalo1
Aditya RamadhanUniversitas Muhammadiyah Prof Dr Hamka1
Daramahu TualepeUniversitas Pattimura1
Yohanis Toni BatlolonaUniversitas Pattimura1
Acep RuchimatPusat Air Tanah dan Geologi Tata Lingkungan1
Mira NailufarBandung Institute of Technology1
Neng E. JubaedahBandung Institute of Technology1
Reginawanti HindersahPadjadjaran University1
Mieke Rochimi SetiawatiPadjadjaran University1
Pujawati SuryatmanaPadjadjaran University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jmfs/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Flower Pollination and Elitism Algorithms for Inversion of  TDEM Data</dc:title>
	<dc:creator>Widodo, Widodo</dc:creator>
	<dc:creator>Raflesia, Farkhan </dc:creator>
	<dc:creator>Awaliyah, Susanti</dc:creator>
	<dc:creator>Setianingsih, Setianingsih</dc:creator>
	<dc:creator>Santoso, Djoko</dc:creator>
	<dc:creator>Parnadi, Wahyudi</dc:creator>
	<dc:creator>Fatkhan, Fatkhan</dc:creator>
	<dc:subject xml:lang="en-US">eFPA</dc:subject>
	<dc:subject xml:lang="en-US">FPA</dc:subject>
	<dc:subject xml:lang="en-US">inversion</dc:subject>
	<dc:subject xml:lang="en-US">TDEM</dc:subject>
	<dc:description xml:lang="en-US">Hybridization of algorithms can enhance the overall search capabilities to get the optimal solution. The aim of this study was to invert Time Domain Electromagnetic (TDEM) data using the Flower Pollination Algorithm (FPA) as a new inversion scheme technique. FPA was originally inspired by the fertilization process of flowers, in which pollen transfer grains from male flowers to female flowers. The modeling of TDEM data was done by combining the FPA and elitism (eFPA) techniques. The applicability was tested on forward modeling data and observed data in MATLAB 2017a. In testing the algorithm, we used a model from homogeneous half space to a multi-layer model using different parameters (resistivity and thickness). In addition, in the inversion process, we used field data with various starting model approaches. Based on the results of the TDEM data modeling, FPA and eFPA can both be applied as algorithmic techniques for inversion modeling of TDEM data. The eFPA technique gave better results than FPA.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Innovation (DRI) ITB</dc:publisher>
	<dc:date>2022-08-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jmfs/article/view/17056</dc:identifier>
	<dc:identifier>10.5614/j.math.fund.sci.2022.54.1.7</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Mathematical and Fundamental Sciences; Vol. 54 No. 1 (2022); 121-137</dc:source>
	<dc:source>2338-5510</dc:source>
	<dc:source>2337-5760</dc:source>
	<dc:source>10.5614/j.math.fund.sci.2022.54.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jmfs/article/view/17056/5918</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Journal of Mathematical and Fundamental Sciences</dc:rights>
</oai_dc:dc>