There are 2 repositories under hybrid-algorithms topic.
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 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
Hybrid ALNS for solving flat-landscape optimisation problems.
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
Web Application to perform image encryption using hybrid algorithms built on ECC and AES
Epilepsey and Insomnia Detection Using EEG signals
Solving Traveling Salesman Problem Using a Hybrid Algorithm of Evolutionary Algorithm and Fuzzy Logic
Hybrid optimization algorithm combining Salp Swarm Optimizer (SSO) and Slime Mold Algorithm (SMA) for optimizing shaded PV array switch matrices.
Checking whether the claims are fraud or non-fraud based on various attributes using Medicare Dataset
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"
Python hybrid algorithms
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.
Code from my Bachelor Final Paper at IFES in Brazil for Electrical Engineer
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 iterative approaches for multi-layer optimization.
As a Hybrid Algorithm, it combines the characteristics of both SJF and Priority Algorithms.
A restaurant recommendation system designed to enhance tourists' dining experiences by seamlessly integrating their personal preferences and real-time location through a hybrid algorithm for more accurate and personalized suggestions
Runtime Optimization of Modified Quicksort Using Insertion Sort. Md. Sabir Hossain proposed algorithm with Insertion Sort
Second Year - Second Semester Final Project (2024)
A hybrid sorting algorithm combining merge sort and insertion sort for improved performance on small and partially sorted arrays. Implemented in C++.
Course "Methods of Optimization" takes place within the walls of the university and is paired with a colleague.