Research on the Development of the Insurance Industry under Extreme Weather based on a Multi-Objective Optimization Model

Abstract

In recent years, the global climate has continuously deteriorated, with extreme weather events occurring frequently, which has exerted a huge and even devastating impact on the insurance industry. To address the location planning challenges faced by the insurance industry globally in the context of extreme weather, this papaer initially innovatively employs an ordered induction weighted operator to combine three forecasting models: ARIMA, SVR, and LSTM, thus developing an IASL model to forecast future extreme weather events. Subsequently, by integrating the interests of both insurance companies and property owners, a multi-objective optimization model is established, which is then transformed into a single-objective optimization model using the Method of Distance Functions. Lastly, the model is solved using an improved Firefly Algorithm. This holistic approach is anticipated to offer more effective support for insurance industry planning and risk management in addressing the challenges posed by extreme weather.