In this study, we introduce a new population based optimization algorithm named Sonar Inspired Optimization (SIO). This algorithm is based on the underwater acoustics that war ships use for reckoning targets and obstacles. The advantage of the proposed method is the ability for performing wider range of search during the iterations of the algorithm. The proposed algorithm is tested in known benchmarks and results are encouraging.