Swine Influenza Mimicked Optimization (SIMO)

Abstract

In this paper, Swine Influenza Model based Optimization (SIMBO) is modified as Swine Influenza mimicked Optimization (SIMO) and explored through the application in the antenna design. Different researchers proposed different optimization techniques and algorithms so that the accuracy of optima will be improved. For fast convergence and better accuracy SIMBO with its variants such as treatment (SIMBOT), vaccination (SIMBOV) and quarantine (SIMBOQ). We have modified Swine Influenza model to propose new technique known as SIMO. In SIMO, health of individuals is improved by synchronizing vaccination, quarantine and treatment. Test 1 and Test 2 are used before vaccine and quarantine respectively to adjust antiviral dose dynamically during its treatment. The additional feature in SIMO such as infection factor control and improve the health of individuals gradually without checking the state/health at every day. SIMO changes solution indirectly during treatment and directly via vaccination and quarantine. The time varying treatment control the health of individuals in defined days such that individual will not feel illness for longer duration. An available closed form formula of equilateral triangular microstrip patch antenna resonant frequency has been used to form the fitness function in order to optimize the dimensional parameters. The proposed technique is used to determine the accurate resonant frequency of equilateral triangular microstrip patch antenna of different dimension. In order to optimize the technique with speedy convergence and effective precision of global optima, this method also used for the optimization of standard benchmark functions.