Parameters Estimation of Goel’s Okumotu Model using Simulated Annealing
نویسندگان
چکیده
Goel’s Okomtou model is based on the Exponential model and simple non-homogeneous Poisson process (NHPP) model. Some optimization technique has been discussed which can be used to optimize the Goel’s Okomtou models. Simulated Annealing (SA) is a heuristic optimization modelling technique that can been applied to solve many difficult problems in the various fields such as scheduling, modelling etc. PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) algorithms are explored to estimate Software reliability Growth model (SRGM) parameters. These algorithms were used to handle the modelling problems for the Power model, the Delayed S-Shaped model and the Exponential model. The optimized result to estimate the parameters using Simulated Annealing (SA) algorithm are better as compared to other techniques.
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