Zone Routing Protocol (ZRP) has evolved as an efficient hybrid routing protocol with extremely high potentiality owing to the integration of two radically different schemes, proactive and reactive in such a way that a balance between control overhead and latency is achieved while maintaining routng and security concerns. The execution of ZRP in any case, is affected by different system conditions, for example, zone span, arrange measure, portability and so forth. The exploration work depicted in this paper centers around enhancing the execution of zone steering convention by lessening the measure of receptive traffic which is fundamentally in charge of corrupted system execution in the event of extensive systems. The methodology is structured to such an extent that the zone range of the system stays unaffected while accomplishing better QOS(Quality of Service) execution alongside productive memory utilization.This is actualized by utilizing two calculations. The principal calculation is intended to adjust the measure of proactive and receptive traffic without expanding the zone sweep dependent on the collection of courses in a focal overseer called Head.The utilization of Route Aggregation(RA) approach helps in decreasing the steering overhead and furthermore help accomplish execution optimization.The execution of proposed convention is evaluated under fluctuating hub size and versatility. The second calculation called the firefly streamlining calculation intends to accomplish worldwide enhancement which is very hard to accomplish due to non-linearity of capacities and multimodality of calculations. Different customary improvement procedures like angle based methods, tree based calculations need to manage such issues so this exploration based work uses the meta-heuristic calculation; it takes focal points of both course total and firefly calculations to upgrade QOS of Mobile Ad-hoc Network. For execution assessment a lot of benchmark capacities are being embraced like, parcel conveyance proportion and start to finish postponement to approve the proposed methodology. Recreation results delineate better execution of proposed brand new Firefly Algorithm (FRA) when contrasted with ZRP and RA-ZRP.