Heart: A novel optimization algorithm for cluster analysis

Abstract

Nature has always been a source of inspiration. Natural computing is a type of technology that develops computational systems with the help of ideas derived from the nature. This paper presents a novel optimization method that utilizes the action of the heart and circulatory system in human beings. This algorithm starts with a randomly initial population of candidate solutions and objective function which is computed for them. The best candidate solution is selected as heart and the others form blood molecules. Then the heart enforces other candidates to move toward/away from the heart and search for the optimal solution. The application of the proposed algorithm on data clustering using several benchmark datasets confirms its potential and greatness.