Particle Swarm Optimization in MATLAB

Description

In this course, you will learn:-

• Learn what Particle Swarm Optimization (PSO) is and how to use it.
• Create PSO in MATLAB from the ground up.
• Using Constriction Coefficients, improve the PSO.
• PSO can be used to solve optimization challenges.

Syllabus:-

1. Theoretical Foundations of PSO

• History of PSO and its Simplified Model
• Mathematical Model of PSO

2. Implementation of PSO in MATLAB

• Optimization Problem Definition
• PSO Parameters
• Initialization of PSO
• PSO Main Loop
• Finalizing the Optimization Process

3. Improving the Code

• Converting the Code to a Function
• Adding Position and Velocity Bounds
• Constriction Coefficients for PSO