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.

A hybrid Encryption/Decryption Algorithm implementing both DES and RSA algorithm.

A cloud simulation library based on cloudsim, it aims to provide all known cloud scheduling algorithms with the help from community developers, as well as automate various simulation scenarios.

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

Time Series Segmentation Algorithms

Hybrid ALNS for solving flat-landscape optimisation problems.

Hybrid Approach to Sparse Group Fused Lasso

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

Epilepsey and Insomnia Detection Using EEG signals

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

Solving Traveling Salesman Problem Using a Hybrid Algorithm of Evolutionary Algorithm and Fuzzy Logic

Checking whether the claims are fraud or non-fraud based on various attributes using Medicare Dataset

Web Application to perform image encryption using hybrid algorithms built on ECC and AES

Python hybrid algorithms

Companies like Google, Amazon, Netflix, Facebook provide us with personalised feeds.

Applied three different techniques⚡ to tackle the most efficient solution of finding the Subarray of an array, which holds the maximum sum of the whole array.

Supplementary codes of the Master Thesis "Binary Classification on Imbalanced Datasets"

Proof how a Hybrid sorting algorithm with respect to a specific threshold value is a better solution any other sorting algorithm individually, in terms of time complexity.

As a Hybrid Algorithm, it combines the characteristics of both SJF and Priority Algorithms.

My reimplementation of the Variational Quantum-Classical Hybrid algorithm, the Quantum Approximate Optimization Algorithm. It features the standard implementation on the Ring of Disagrees Cost Hamiltonian, and my new implementation (called Power Iteration) that utilizes a new cost function. This Quantum Machine Learning Model outperforms QAOA on…