GA PSO MATLAB Code Generation using Chat GPT | Genetic Algorithm Code | PSO Code in MATLAB|

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GA PSO MATLAB Code Generation using Chat GPT | Genetic Algorithm Code | PSO Code in MATLAB|
In this YouTube tutorial, we'll learn how to generate MATLAB code for Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) using ChatGPT. We'll start by introducing GA and PSO as optimization techniques and set up a basic minimization problem. Using ChatGPT, we'll create MATLAB code for GA by defining parameters, initializing populations, implementing selection, crossover, and mutation, and displaying the best solution. Similarly, we'll generate MATLAB code for PSO, initializing particles, updating positions and velocities, tracking personal and global bests, and showcasing the optimal solution. By comparing and running the generated codes, we'll grasp the process and efficiency of solving optimization problems through these algorithms, while also discussing parameter tuning.

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The Course on "MATLAB Modelling of Solar PV system explore about following;
1. MATLAB modelling of Solar PV cell and Solar PV Array Using a mathematical equation.
2. How to find I-V and PV Characteristics of the modelled solar PV array in MATLAB.
3. MATLAB Implementation of Maximum Powerpoint Algorithm for solar PV array with a stand-alone system.
4. MATLAB Implementation of solar MPPT charger controller for a solar PV system.
5. MATLAB Implementation of a grid-connected solar PV system.

MATLAB Files included:
- Modelling of Solar PV Array

- MPPT control of Solar PV Array

- MPPT charger controller

- Grid-connected solar PV system

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