Music Inspired HS Algorithm for determining Software Design Patterns

Harmony Search (HS) is a phenomenon-mimicking algorithm a metaheuristic inspired by the improvisation process of musicians proposed by Zong Woo Geem (2001). Multiobjective, Multiconstratined optimization for determining the Global Optima from several Local Optima is challenging and toughest task, which can be strategically solved by HS metaheuristic algorithm. The capability of the improvisation process to find the optimal solution in the HS metaheuristic is used for determining the software design patterns based on their characteristic weights deduced using many parametric and non-parametric methods. In this paper we attempt to design a framework for determining the optimal design pattern as the solution for the problem narrated in the form of pattern stories. We have evaluated for some complex case studies and the results are affirmative for the statement declaration.