Tsunami Evacuation Routes Optimization using Genetic Algorithms: A Case Study in Palu

  • Anshori Y
  • Shinta Angreni D
  • Ramadhani Arifin S
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Abstract

Palu area and its surroundings, besides being very prone to earthquakes, are also prone to tsunamis. A devastating earthquake occurred On September 28, 2018, followed by a destructive and deadly tsunami that struck Palu Bay. This makes the need for proper planning in overcoming the tsunami disaster. One of them is by showing the evacuation route for people in tsunami-prone areas. This study aims to show the best route to the safe point of the tsunami using Genetic Algorithm. The results of the studies show that the best route for tsunami evacuations can be provided best depend on the available of the safe points. Some clusters, namely 9, 10, and 12 have few safe points, limiting people to access a safe location from the tsunami.

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Anshori, Y., Shinta Angreni, D., & Ramadhani Arifin, S. (2020). Tsunami Evacuation Routes Optimization using Genetic Algorithms: A Case Study in Palu. MATEC Web of Conferences, 331, 01008. https://doi.org/10.1051/matecconf/202033101008

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