Pemodelan Inversi Data Vertical Electrical Sounding (VES) Menggunakan Hybrid Differensial Evolution Flower Pollination Algorithm (HDEFPA)

Geoelectric Resistivity is a geophysical method for mapping subsurface resistivity. Vertical Electrical Sounding (VES) is often used because of its ease in providing information on vertical lithological distribution. Modeling inversion of VES data is a complex challenge due to the non-linear relationship between data and model parameters. This research uses the Hybrid Differential Evolution Flower Pollination Algorithm (HDEFPA) as a global optimization method to overcome this problem. HDEFPA combines Flower Pollination (FPA) and Differential Evolution (DE) algorithms, which have both global and local search capabilities. Tests were carried out with synthetic VES data on two-layer, three-layer (K-type and H-type), and four-layer earth models. In addition, field data from seawater intrusion in Pelauw, Maluku, Indonesia were used. The results show that HDEFPA is superior to FPA and single DE in fast convergence and fewer iterations. The HDEFPA algorithm successfully validates field data, producing reliable and accurate results. This research provides insight into the advantages of global optimization methods over local inversion methods in inversion modeling of VES data.

Authors

Institutions

Publication Details

Journal
Tanah Goyang Jurnal Geosains
Published
2025-02-05
DOI
https://doi.org/10.30598/tanahgoyang.2.2.108-121
Primary Topic
Leaf Properties and Growth Measurement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pemodelan Inversi Data Vertical Electrical Sounding (VES) Menggunakan Hybrid Differensial Evolution Flower Pollination Algorithm (HDEFPA)

Samsul Bahri, Warsa Warsa, Liora Chrissa Pattiasina
Tanah Goyang Jurnal Geosains
Leaf Properties and Growth Measurement
article

Pemodelan Inversi Data Vertical Electrical Sounding (VES) Menggunakan Hybrid Differensial Evolution Flower Pollination Algorithm (HDEFPA)

Samsul Bahri, Warsa Warsa, Liora Chrissa Pattiasina
article en

Abstract

Geoelectric Resistivity is a geophysical method for mapping subsurface resistivity. Vertical Electrical Sounding (VES) is often used because of its ease in providing information on vertical lithological distribution. Modeling inversion of VES data is a complex challenge due to the non-linear relationship between data and model parameters. This research uses the Hybrid Differential Evolution Flower Pollination Algorithm (HDEFPA) as a global optimization method to overcome this problem. HDEFPA combines Flower Pollination (FPA) and Differential Evolution (DE) algorithms, which have both global and local search capabilities. Tests were carried out with synthetic VES data on two-layer, three-layer (K-type and H-type), and four-layer earth models. In addition, field data from seawater intrusion in Pelauw, Maluku, Indonesia were used. The results show that HDEFPA is superior to FPA and single DE in fast convergence and fewer iterations. The HDEFPA algorithm successfully validates field data, producing reliable and accurate results. This research provides insight into the advantages of global optimization methods over local inversion methods in inversion modeling of VES data.

Tanah Goyang Jurnal GeosainsVol. 2(2)
Bandung Institute of Technology (ID), University of Pattimura (ID)
Openalex Percentile: Top 79%
Leaf Properties and Growth Measurement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pemodelan Inversi Data Vertical Electrical Sounding (VES) Menggunakan Hybrid Differensial Evolution Flower Pollination Algorithm (HDEFPA) — Samsul Bahri, Warsa Warsa, et al. · Tanah Goyang Jurnal Geosains (2025) | TGRS Research Map | TGRS