Abstract
This paper discusses non-linear inversion method with Genetic Algorithm (GA) which inspired by natural selection process (survival for the fittest) and genetic using 20 populations (micro genetic algorithm). The method is applied to 1-D magnetotelluric inverted data with model parameter is resistivity as a function of depth. This research only uses synthetic data obtained from synthetic model. The model is homogeneous earth model with 3 and 5 layers. Perturbation of model is performed until minimum misfit between theoritical and observation data achieved. The 3 layers and 5 layers inversion processes are applied to 3 layers and 5 layers earth model respectively, with satisfactory results in other words it can reproduce the synthetic model.
Highlights
PENDAHULUAN Proses inversi bertujuan untuk mendapatkan model optimal yang dilakukan dengan cara mencari nilai minimum suatu fungsi obyektif
This paper discusses non-linear inversion method with Genetic Algorithm
which inspired by natural selection process
Summary
Sebagai proses awal maka dibangun suatu populasi (ruang model) yang terdiri dari sekumpulan individu (model) secara acak (random). Populasi ini dapat dikategorikan menjadi dua yaitu : 1. Micro Genetic Algorithm dimana ukuran populasi kecil yaitu berkisar dari 5 hingga 50 populasi (Yubo, Jian & Fei, 2005). 2. Macro Genetic Algorithm yaitu ukuran populasi berkisar dari 50 hingga 100 populasi (Yubo, Jian & Fei, 2005). Sekumpulan individu dalam suatu populasi biasanya dikodekan sebagai bilangan biner sehingga dapat digambarkan sejumlah bit (binary digit) yang menunjukkan posisi tiap angka, terdiri dari angka 0 dan 1. Dalam algoritma genetik anggota suatu populasi dipilih berdasarkan fitness-nya dan jumlah populasi dalam suatu generasi dibuat tetap.
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