Abstract :—Tumor diagnosis play a significant role in the medical field. The task of identifying the tumor leads to more critical
because of more complexity in the structure and size of the cancer cell. The recommended Jaya algorithm can be used for
clustering and produced improved result in segmenting the tumor region. Jaya algorithm produces optimal solution for
constrained problem by identifying the best and worst solution for all subset. If the solution provided is better than the previous
one then the new one is updated otherwise it will take the previous one for consideration. These techniques delivered a prominent
result for tumor having different boundaries and complex structures. The results obtained from jaya algorithm are compared with
conventional algorithm like particle swarm optimization (PSO) clearly shows quite improved that can be used to identify various
pathologies in magnetic resonance (MR) image