Mobility and Infrastructure-less are the main advantages of mobile Ad Hoc networks (MANET), and in parallel, generate challenges due to uncertainty for competent routing in an unpredictable, infrastructure-less topology. Energy is one of the constraints in the MANET because mobility generates irregular bandwidth utilization of the network. Each computation by the node in MANET utilizes its dry cell, which has non-chargeable battery power. It is also a challenge for the node to know how long it can live and be capable of working in the network because its communicating node must be in its radio range. That range gradually reduces with the loss of battery power. This paper designs an energy-efficient MANET routing and shows a new direction for network lifetime and bandwidth utilization. The PSO algorithm is applied here to create an energy-efficient cluster head by considering the individual node’s mobility, bandwidth, energy, and distance. Finally, meta-heuristic CUCKOO’s Levy flight optimization technique finds the optimized path among the cluster heads to transmit the data to the node via the cluster heads named PSO-Cuckoo. Hybrid PSO and Cuckoo Search optimized hybrid algorithm experiments over various conditions of MANET and simulation results show that our proposed hybrid technique improves the End-to-End delay and packet delivery ratio (PDR) in the performance of the given solution by comparing with existing AODV, AOMDV, PSO-AOMDV, and CSO-AODV.