Self-organizing migrating algorithm: review, improvements and comparison

Abstract The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that belongs to swarm intelligence. In the last 20 years, we can observe two main streams in publications. First, novel approaches contributing improvement of its performance. Second, solving various optimization problems. Despite different and applications, there exists no work summarizing them. Therefore, this reviews research papers dealing with principles application SOMA. second goal provide additional information about performance This presents comparison selected algorithms. experimental results indicate best-performing SOMAs competitive comparing recently published