The term Mobile Ad hoc Network (MANET) is used for an autonomous mobile node collection that establishes a fixed infrastructure-less ad hoc network. There may be degradation of the network performance due to the MANET’s attribute of dynamic topology. For network longevity, a major arduous job is multi-path selection. Key intentions of multi-path routing protocols are to boost Quality of Service (QoS), to assure load balancing, and to offer reliable communication for ad hoc and mobile networks. Maximization of network lifespan, overhead reduction, as well as delay enhancement are some of the other intentions of these routing protocols. MANET’s multi-path routing protocols concentrate on issues like its adaption to applications, wireless transmission instability, network longevity, security, and scalability. An Ad hoc On-demand Multipath Distance Vector (AOMDV) routing protocol is evaluated and modified in this work. Hybrid Evolutionary Algorithms (EA)-Gravitational Search (GS) Algorithm with AOMDV and GS-Fire Fly (FF) algorithm with AOMDV have also been presented. This proposed scheme produces routing decisions via optimal route determination with energy efficient nodes for the maintenance of network longevity, reliability, and stability over a sustained time period. Simulation outcomes demonstrated that the proposed GS-FF AOMDV performs better in comparison to the AOMDV as well as the EA-GS AOMDV.