Grey wolf algorithm for software organization

Nature has always been a source of inspiration for solving complex engineering problems. It could be easily observed in the latest optimization algorithms that have been inspired by nature. Grey Wolf Optimization algorithm is a recent optimization algorithm that has been inspired by hunting behavior of grey wolves. In this paper, this algorithm has been investigated for the process of software organization. Software organization refers to the placements of software entities into appropriate clusters. Hybrid of Grey Wolf algorithm with Genetic Algorithm has also been investigated for software organization and has observed improved efficiency. The algorithms have been applied for clustering of five C, C++ and java based software applications and compared to some of the existing search based software organization techniques.