MANETs are made up of nodes that uses routing protocols to transfer a packet from source to sink through store-and-forward method. These packets are sent through each intermediate nodes therefore transferring the data packets from source to sink is very expensive process. Traditional protocols also ignore energy usage in nodes when choosing route from source to sink node. Therefore, the need for an optimized path for communication amongst node has attracted the use of approaches like Ant-Colony Optimization (ACO) and Particle Swarm Optimization (PSO). In this research work, we are proposing ahybrid nature-inspired optimization technique based on ACO and PSO named as AOMDV-ACOPSO to enhance the performance of MANET routing. AOMDV is used to find the multiple data transfer paths from source to destination, where as hybrid ACO-PSO technique is used to select the best or optimum path from the multiple routes generated by the AOMDV. The performance of the suggested approach is analyzed and evaluate against the existing approaches in terms of Packet delivery ratio (PDR), energy consumption (EC), End to End(E2E) delay and throughput. Simulation results are generated by the NS2.35 and findings reveal that the proposed approach perform superior when compared to the existing techniques like AODV, AOMDV, ACO-AOMDV and PSO-AOMDV.