This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

A python package for constructing and analysing minimum spanning trees.

Implemented fully documented Cuckoo Search Optimization algorithm via Levy Flights (basic model) using Python programming language

Neuromorphic Project : Pattern Classification using Cuckoo Search Algorithm and Levy Flight Model

Generalized random walks coupled to disease dynamics for epidemic and outbreak scenarios, plus surveillance tools based on compressed sensing.

This is my implementation of a hybrid ANN model optimized by Hyperbolic secant and Levy Flights based Grey Wolf Optimization

IntLevPy is a Python toolkit for simulating intermittent processes and Levy flights, ideal for analyzing complex stochastic dynamics. It generates synthetic datasets, offering both theoretical and practical data analysis tools in a user-friendly package.

Final project done as part of the course Thermal Physics (PHY-2610) in Spring 2024

Scheduling tasks using African Vulture Optimization Algorithm (AVOA) in iFogSim Simulator

This repository contains codes developed in 2022 to simulate the proposed Mobile Human Ad Hoc Network model to simulate the infectious disease spread based on airborne transmission.

W.I.N.G.S. - Wolbachia Infection Numerical Growth Simulation.

This repository contains a Python implementation of the Lévy Walk simulation, a random walk model with a power-law step length distribution. The code simulates multiple walkers with boundary conditions and visualizes their trajectories for different values of the power-law exponent.