文摘
We propose six metaheuristic optimization algorithms to solve the community detection (CD) problem. The proposed algorithms have been modified in order to use for solving modularity optimization problem which is a discrete optimization problem. The four algorithms (HDSA, BADE, SSGA and BB-BC) have been supported by new techniques or hybrid methods in addition to their original versions. Comparative analyses of the proposed algorithms are performed on the four biological and five social networks. According to acquired experimental results, it has been observed that HDSA is more efficient and competitive than the other algorithms.