Design of Gas Cyclone Using Hybrid Particle Swarm Optimization Algorithm

Abstract

The method of searching for an optimal solution inspired by nature is referred to as particle swarm optimization. Differential evolution is a simple but effective EA for global optimization since it has demonstrated strong convergence qualities and is relatively straightforward to comprehend. The primary concerns of design engineers are that the traditional technique used in the design process of a gas cyclone utilizes complex mathematical formulas and a sensitivity approach to obtain relevant optimal design parameters. The motivation of this research effort is based on the desire to simplify complex mathematical models and the sensitivity approach for gas cyclone design with the use of an objective function, which is of the minimization type. The process makes use of the initial population generated by the DE algorithm, and the stopping criterion of DE is set as the fitness value. When the fitness value is not less than the current global best, the DE population is taken over by PSO. For each iteration, the new velocity and position are updated in every generation until the optimal solution is achieved. When using PSO independently, the adoption of a hybridised particle swarm optimization method for the design of an optimum gas cyclone produced better results, with an overall efficiency of 0.70, and with a low cost at the rate of 230 cost/second.

A twinning bare bones particle swarm optimization algorithm

“…In general, the PSO algorithms specialize in solving nonlinear non-stationary problems and have been widely used in parallel computing [ 6 ], pattern recognition [ 7 ], automatic control [ 8 ], transportation engineering [ 9 ] and other fields. For example, Shen [ 10 ] designs an effective gas cyclone method by using a hybrid PSO and differential evolution algorithm, and shows that the method with higher efficiency and low cost. Sung [ 11 ] proposes a method to increase the accuracy of user positioning in indoor environments using wireless-fidelity (Wi-Fi).…”