Underwater wireless Acoustic sensor network (UWASN) is employed to communicate between anchor nodes and the sink nodes. In this work, a novel Chimp optimization algorithm is deployed for underwater routing protocol communication, aiming to improve energy efficiency, packet delivery ratio, and throughput. In Chimp, the energy Optimization Algorithm solves the problems of propagation delay and improves battery life, network lifetime, and throughput. The proposed algorithm shows a better result in energy efficiency when compared to the existing buffalo algorithm, resulting in a Mean Delay of 79.17% and propagation delay of 74.35% than the existing counterpart. Especially compared to the buffalo algorithm, the Chimp algorithm has higher decision-making capacity and extended node range. The node range is set from 0 to 100, and the node performance is evaluated using MATLAB simulation software tools