Optimization is the process of upgrading something to perform better. Engineers constantly look for improving their designs in multi parametric solution space. Imagine that you will be able to use nature.s evolutionary processes to obtain the best parameters for your designs. This is the subject of this course which is divided into two parts.
This course is Part II and covers the applications of Particle Swarm Optimization (PSO). The underlying fundamental concepts of Particle Swarm Optimization are presented and then some representative examples are provided. Useful references are listed to allow for more in-depth understanding of this topic.