Improved Whale Optimization Algorithm Case Study: Clinical Data of Anaemic Pregnant Woman

Abstract

WOA is a meta-heuristic algorithm possessing the proper potentiality in solving complex numerical function optimization problems. It works well, but poor in the convergence at exploration and exploitation phases. In order to enhance the convergence enforcement of WOA, a novel constitutional appraising strategy based WOA has been set forth in this paper. In this scenario, constituent states are fully utilized in each of the iterations to supervise the subsequent gazing process, and to counterbalance the local exploration with global exploitation. We fix up with the mechanism together with the convergence straight stuff of the enhanced algorithm. Comparable investigations are supervised on various mathematical benchmark function optimization problems. Simulation results confirm, with statistical significance, that the proposed scenario is more efficient in the convergence performance of WOA. In addition to this, we applied the same technique to a clinical dataset of an anaemic pregnant woman and obtained optimized clusters and cluster heads to secure a clear comprehension and meaningful insights in the clinical decision-making process.