Learning Outcomes

In this free course, you will learn how to:

• Explain the foundational principles of Particle Swarm Optimization (PSO)
• Solve and implement a basic particle swarm optimization algorithm in MATLAB
• Identify the key parameters and mathematical equations underlying the PSO technique
• Summarize the key features of swarm intelligence in optimization
• Explain how to convert a PSO MATLAB script implementation into a reusable function
• Illustrate the steps involved in updating velocity and position in the PSO main loop
• Apply boundary constraints to improve PSO performance
• Calculate velocity limits to control particle movement
• Apply and utilize the constriction coefficient to set PSO parameters
• Analyze the effects of parameter configurations on PSO convergence
• Evaluate multidimensional optimization problem solutions found by PSO
• Plan and execute the translation of PSO code from MATLAB to other programming languages