Some meta heuristic algorithms to estimate the survival function of truncated inverse Gompertz distribution

In this paper, we introduce Right Truncated Inverse Gompertz Distribution with two parameters δ and ϑ and we proposes three methods by hybrid Algorithms (Cuckoo Search Algorithm with Moment Method (CSA_MOM), Firefly Algorithm with Moment Method (FA_MOM) and Bee Colony Algorithm with Moment Method (BCA_MOM)) to estimate Survival functions based on the parameters (δ, ϑ) of Right Truncated Inverse Gompertz distribution. The proposed methods are compared to the traditional methods (Moment Method and Maximum Likelihood Estimation) via simulation. The results indicate that (CSA_MOM) algorithm is superior to other algorithms, and then comes (BCA_MOM) algorithm. Both algorithms are superior to the classical methods in all cases discussed.