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:-

• Introduction

• History of PSO and its Simplified Model

• Mathematical Model of PSO

• Optimization Problem Definition

• PSO Parameters

• Initialization of PSO

• PSO Main Loop

• Finalizing the Optimization Process

• Converting the Code to a Function

• Adding Position and Velocity Bounds

• Constriction Coefficients for PSO