Horse Optimization Algorithm: A Novel Bio-Inspired Algorithm for Solving Global Optimization Problems

Abstract

We introduce a novel bio-inspired algorithm named Horse Optimization Algorithm (HOA) which has as primary source of inspiration the hierarchical organization of the horse herds. The article presents the main principles of the proposed algorithm, the pseudo-code version of the algorithm and a modified version named Discrete Binary Horse Optimization Algorithm (DBHOA). HOA is evaluated and validated using six objective functions and is compared with Chicken Swarm Optimization (CSO) and Cat Swarm Optimization Algorithm (CSOA). Finally, the article presents the application of DBHOA in features selection for data generated in a smart grid for the classification of the stability of the system and it considers as experimental support the Electrical Grid Stability Simulated Dataset.