GENETIC ALGORITHMS IN TSUNAMI STUDIES

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

SEE08_040

تاریخ نمایه سازی: 27 خرداد 1399

Abstract:

Genetic Algorithms (GA) can solve unknown parameters of a problem by examining a small percent of all possible answers. Applying GA on an unknown tsunami study may require several thousand to millions of numerical modeling. Numerical modeling of tsunamis consists of time-consuming (high cost) processes which are dependent on the resolution of the mesh grid and the configuration of the modeling computer. Therefore, the application of GA for finding an unknown Initial Water Displacement (IWD) was not an option and considered non-applicable due to its severely high costs. In this study, we have presented a different approach which enables the application of GA on tsunami studies. A Spike Response Database was created in the most possible area of the presence of a tsunami-genetic source. Once the database was created, the effect of any IWD was evaluated in a fraction of a second which minimized the computational cost of the numerical modeling and made GA applicable for tsunami studies. A real-value GA was applied in a sea-like medium with 6 arbitrary stations, to solve a pre-defined problem. The results obtained is very close to the actual test parameters of the problem. This indicates success in the application of GA on numerical modeling of tsunamis. The result of this study can further be extended for application on other numerical schemes and other adaptive algorithms in tsunami studies

Authors

Ahmad Ala Amjadi

Ph.D. Student, International Institute of Earthquake Engineering and Seismology, Tehran, Iran

Mohammad Mokhtari

Associate Professor, International Institute of Earthquake Engineering and Seismology, Tehran, Iran