Solving SIS Epidemic Disease Model by Flower Pollination Algorithm

Abstract

Mathematical sciences have continuously assisted many other interdisciplinary fields to find a solution to realworld problems. Intelligent and expert systems aim to imitate intelligent human experts to explain complex real-world problems of the real-world. An epidemic situation is an incidence of ailment that increases quickly and bothers numerous persons at the same time. The transmission of viruses is an immense drawback of the present era. In this work, SIS (Susceptible-Infected-Susceptible) ODE (Ordinary-differential-equation) model is taken into account and the graphs of the solution to these problems are compared with Euler's Method. Flower Pollination Algorithm (FPA) is a differential equation-based simple, adaptable, time-saving, and an exponentially better approach. It is a bio-inspired algorithm that simulates the real-life process of flower pollination.