Gliomas resemble glial cells and are the most common brain tumors. Treatment includes chemotherapy, radiation, and sometimes surgery. Accurate MRI-based segmentation is vital for planning and diagnosis. This study uses an integrated segmentation algorithm combining Fuzzy C-Means (FCM) clustering and Red Piranha Optimization (RPO). FRFCM improves traditional FCM limitations. Evaluations on BraTS datasets show enhanced Dice score of 92%, aiding clinical decisions.