Recent day communication development Mobile Adhoc Network (MANET) become a great part for creating new infrastructure containing autonomous mobile node links. The MANET’s propertyof dynamic topology may degrade the network’s performance. Nevertheless, for the network lifespan’s enhancement, the multipath selection is quite an arduous task. This work has given theproposalfor amultipath routing scheme termed theAd hocOn-demandMultipath DistanceVector Routing (AOMDV) Protocol through a combination of the hybrid Grey Wolf Optimizer(GWO) with the Differential Evolution (DE) as well as the Fire Fly (FF) algorithm. Both the GWO-DE as well as the GWO-FF are powerful metaheuristic approaches for identifying an effective solution to the conflict MANET routing problem. The proposed approach is able to increase the scalability by minimizing the routing overload when the latest route is established and also to enhance the quality-aware best path routing protocol. It is evident from the results of the comparison studies that the proposed GWO-FF algorithm has the ability to surpass the performance of other algorithms and also is feasible for adaptation of the problem of routing optimization.