Mobile Ad-hoc Networks (MANETs) have dynamic topology and are decentralized, which face issues related to routing and clustering for efficient and effective transfer of data while considering the energy limitation. It is also important to minimize energy demands and increase performance, network lifetime. Thus, to overcome the above challenges from the existing research methods, clustering and routing in MANETs are hybrid optimized by employing Improved Harris Hawks Optimization (IHHO) and Flamingo Jelly Fish Search Optimization (FJSO). The IHHO algorithm is developed based on the hunting strategy of Harris hawks to effectively identify the number and density of clusters that meet energy consumption optimization and networking lifespan enhancement goals. On the other hand, the FJSO technique combines Jelly Fish Search Optimization (JFSO) and Flamingo Search Algorithm (FSA) for determining the secure and best path from the source to destination with a particular fitness value achievement. Therefore, the results of the proposed Hybrid Optimization (HO) achieved show Packet Drop Ratio (PDR) of 47.32%, End-to-End Delay of 0.26 s, and Throughput of 3522.42 bits/s, which are superior compared to existing methods, Mobility Aware Routing Protocol using Hybrid Optimization (MARO-HO) and Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing (IMD-EACBR).