Neural network optimization of connection weight sensitivity analysis algorithm based on genetic algorithm

Extreme weather events create crises for homeowners and insurance companies. As insurance companies adjust coverage, property insurance is becoming more expensive and harder to get. This study aims to examine the sustainability and related issues of property insurance by estimating the risks of climate change to cash crop production and creating weather index insurance programs for four regions in Canada. In this paper, genetic algorithm, particle swarm algorithm and error back propagation algorithm are used to find the optimal solution. The effectiveness of weather index insurance to protect against crop production losses under climate change scenarios in 2030, 2060 and 2090 is analyzed, highlighting current challenges affecting social inclusion and sustainability of insurance schemes.