Particle Swarm Optimization of a Wheel Manufacturing Plant for Solving Reliability Problem

Abstract

One of the most popular methods for solving real-world optimization issues is the employment of nature-inspired algorithms. As a result, it has grown to be one of the most widely used and effective methods of optimization. This paper discusses the application of particle swarm optimization of a Wheel Manufacturing plant for solving reliability problem. The analysis of PSO on limited problems was put to the test through four different experimental designs. The following sections include a description of each experiment, as well as the objective function and restrictions that were used in each experiment. The proposed solution for each of these situations demonstrates the vast range of applications for PSO.