A NEW EVOLUTIONARY ALGORITHM BASED ON BERNOULLI’S PRINCIPLE

Abstract

In this study a new type of nature inspired Evolutionary algorithm is proposed. The proposed algorithm is based on the Bernoulli’s Principle. Bernoulli’s principle states that, in a steady flow, the sum of all forms of mechanical energy in a fluid along a streamline is the same at all points on that streamline. Bernoulli's principle can be derived from the principle of conservation of energy. During the streamline flow, the sum of kinetic energy and potential energy remain constant. The proposed algorithm is based on the Bernoulli’s Principle only and used the Bernoulli’s principle for the optimization purpose. In the proposed algorithm initially particles are assigned positions and velocities. Using these positions and velocities, the fitness function is calculated which is used to find the global best of the system and on every iteration the position and velocity of the particle is updated on the basis of this global best. This algorithm has been applied to various functions to determine .