PSO based stability analysis of a computational intelligent algorithm using SOS

This work introduces Symbiotic Organism Search (SOS) for solving stability related problems. SOS is a new and robust approach in met heuristic fields and never been used to solve discrete problems. A sophisticated method to deal with stability related problem that is applied using the basic Symbiotic Organism Search (SOS) framework. The performance of the algorithm was evaluated on a set of benchmark instances and compared results with best known solution. The results show that the proposed algorithm can produce good solution. These results indicated that the proposed SOS can be applied as an alternative to solve the stability related issue. SOS algorithm is an effective met heuristic developed in 2014, which mimics the symbiotic relationship among the living beings, such as mutualism, commensalism, and parasitism, to survive in the ecosystem. In this study, three modified versions of the SOS algorithm are proposed by introducing adaptive benefit factors in the basic SOS algorithm to improve its efficiency.