Sine Optimization Algorithm (SOA): A novel optimization algorithm by change update position strategy of search agent in Sine Cosine Algorithm

Abstract

In this paper, the update position of search agent strategy in Sine Cosine Algorithm (SCA) is replaced with a new update position strategy. In this strategy, the update position of each search agent is determined randomly by the search agent with the best position or the position of a random search agent. Moreover, contrary to SCA, this strategy merely uses sine function. That is why the proposed method is called Sine Optimization Algorithm (SOA). The performance of SOA and SCA was evaluated over a set of benchmark functions. The results show that SOA enjoys a higher accuracy to reach the global best compared with SCA, while also having a higher convergence speed.