The Comparing Analysis of Drosophila Optimization and Gravitational Search Algorithm

Abstract

In this paper, two evolutionary methods, Drosophila Optimization (DO) and Gravitational Search Algorithm (GSA), are compared. Important problem of evolutionary methods is how to balance exploitation and exploration. We take a set of numerical experiments to verify the performance of these methods. Numerical results show that GSA is better than DO in convergence rate or accuracy.