Performance Comparison of Harmony Search Algorithm with Bat Algorithm on Rastrigin function

In the last two decades, a number of optimization techniques have been developed for solving various optimization problems related to engineering and technology. Among these, optimization technique Harmony Search Algorithm is powerful, effective and efficient population-based optimization technique which was developed by Z. W. Geem around 2001. In this article, the formulation and logic is explained. Then it is tested on Rastrigin function for various dimensions. The result is compared with Bat algorithm and it has been concluded that HSA works better than Bat algorithm.