Large Scale Multiple-Input Multiple-Output (LS-MIMO) is an emerging technology system employs multiple antennas at the transmitter and receiver sides. The receivers used in MIMO-OFDM are complex. Due to reduction in computational Complexity, Computational Intelligence finds its application in the field of MIMO detection. In this paper, a novel hybrid algorithm called Genetic Cat Swarm Optimization (GCSO) is proposed and put upon for the first time in MIMO detection. The new algorithm called GCSO MIMO achieves maximum likelihood performance and proved that the search space is reduced when compared with other optimizing algorithms like GA, CSO.