Vehicular Adhoc Network (VANETs) based cluster creation is a promising research area that works for intelligent transportation systems in the day-to-day technical world. It intends to segment the vehicles that are in the moving condition into some groups called clusters on the roads. As the results of using the high-speed vehicles in VANETs the network energy utilization and routing overhead gets greater than before. Effective cluster head selection becomes essential to solve the issue and improve the firmness of VANETs. In this paper a Hybrid Bio-Inspired optimization-based Enhanced luster head Selection (HBO-ECHS) is developed to improve communication in VANETs. Hybrid optimization is the combination of the Butterfly Optimization Algorithm (BOA) and Ant Colony Optimization (ACO) algorithm. The main process of luster head selection is cluster formation, hybrid optimization-based cluster head election, and position improvisation. The NS2 software with SUMO was used in this work. Different parameters concentrated for performance evaluation which are packet delivery ratio, end-to-end delay, energy efficiency, and routing overhead). To perform a comparative analysis, the outcome of the HBO-ECHS is compared with recent works like AJ-MOFA and RJ-EDCV.