In literature, there is an abundance of nature inspired optimization algorithms. These algorithms can be best utilized effectively when applied to real world problems. Marine Predator Algorithm is one such algorithm which has been recently proposed and has been used to solve many engineering problems. In this study, we are considering some optimization problems from electrical, medicine and computer vision world. We have applied an improved version of MPA by increasing its exploration ability. The results obtained from the experiments conclude the remark that improved version of MPA has successfully solved these problems.