About Swarm Wave

An educational web application for swarm intelligence algorithm research and simulation

Project Overview

Swarm Wave is a comprehensive educational platform designed to facilitate the study and experimentation of swarm intelligence algorithms. Built with modern web technologies, it provides an intuitive interface for researchers and students to simulate, analyze, and understand the behavior of various swarm algorithms.

The platform supports both Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) algorithms, offering real-time visualization, parameter tuning capabilities, and performance tracking features that make complex algorithm concepts more accessible to learners.

Project Details

Creator Information

Created by

Muhammad Faza Abiyyu

Academic Purpose

Tugas Akhir Sarjana 1

Institution

Telkom University Purwokerto

Technical Specifications

Frontend Framework

Nuxt 4

Backend Framework

Flask

License

MIT License

Key Features

Real-time Visualization

Watch algorithm performance metrics update in real-time with interactive charts and graphs.

Parameter Tuning

Fine-tune algorithm parameters directly through an intuitive table interface for optimal performance.

Data Management

Import/export data in JSON and CSV formats with full CRUD operations support.

Educational Focus

Designed specifically for educational use with clear instructions and intuitive user interface.

Open Source Project

This project is open source and available under the MIT License. Feel free to contribute, use, or modify according to your needs.

View on GitHub