This MATLAB project implements a hybrid optimization algorithm that combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The algorithm is designed to optimize a set of parameters (genes) for various problems, making it flexible and adaptable to different optimization scenarios.

In this section, I share the Meta-Heuristic algorithm codes that I wrote myself

Time Series Segmentation Algorithms

Genetic Algorithm Assisted HIDMS-PSO: A Novel GA-PSO Hybrid Algorithm for Global Optimisation. Source code for the paper: IEEE Congress on Evolutionary Computation (CEC) https://ieeexplore.ieee.org/document/9504852

Hybrid optimization algorithm combining Salp Swarm Optimizer (SSO) and Slime Mold Algorithm (SMA) for optimizing shaded PV array switch matrices.