The Simulation of Demand Function of Life Insurance using Gravitational Search Algorithm

Nowadays, life insurance plays a major role in the economy of different countries especially developed countries. Despite the numerous applications of life insurance, this service has remained less popular in Iran just like other developing countries, and its role in Iranian economy and the lives of Iranian people is not significant. Therefore this research studies the factors affecting the demand of life insurance in Iran by simulation of the function of demand for life insurance in three forms of non-linear equations (Cobb-Douglas, quadratic and exponential) using gravitational search optimization algorithm. The variables of real per capita sold life insurance, real GDP per capita, the probability of death, literacy, responsibility and inflation rate between 1978 and 2013 are expanded in these equations. The findings of the study showed that Cobb-Douglas's form of demand for life insurance presents better results in comparison with the two other forms. Accordingly, GPD per capita (as a symptom of income), literacy, responsibility and death probability have significant impact on the demand and by contrast, inflation rate have negative impact on demand for life insurance.