🚀 Load Balance Simulator | ACO-Based Memory Allocation Visualization

#react #algorithms #opensource #webdev

Understanding how algorithms like Ant Colony Optimization (ACO) work can be abstract without visual feedback. A good simulator turns theory into an intuitive learning experience — showing how agents explore, optimize, and converge on solutions.

The Load Balance Simulator is an interactive ACO-based memory allocation visualization tool built with React. It demonstrates how ant colony optimization can be applied to load balancing and memory allocation problems, with live animations that help users observe algorithm behavior in real time.

📌 Key Features:

✅ Interactive Algorithm Visualization – Watch ants explore and optimize paths
✅ ACO-Based Load Balancing – Demonstrates practical optimization logic
✅ Responsive UI – Works smoothly on desktop and mobile
✅ Adjustable Parameters – Change pheromone values, iterations, and weights
✅ Real-Time Simulation Feedback – See results evolve live
✅ Clean Visualization Panels – Graphs, diagrams, and dynamic UI

🛠 Technologies & Libraries Used:

💻 React – UI and interactive components
⚡ JavaScript / TypeScript – Core logic and algorithm implementation
🎨 HTML & CSS / Tailwind CSS – Styling and responsive layout
📊 Visualization Libraries – Used for dynamic charts and simulation redraws
🧠 Algorithm Logic – Ant colony optimization applied to memory/load problems

🌟 Purpose of the Project:

This simulator helps students, developers, and algorithm enthusiasts visualize how swarm-based optimization works in a practical setting — specifically in dynamic memory allocation and load balancing. It’s also a compelling portfolio piece to demonstrate interactive React applications with algorithmic logic.

🔗 GitHub & Live Demo: https://reactjsguru.com/repos/load-balance-simulator-aco-based-memory-allocation-visualization-using-ant-colony-optimization?utm_source=dev.to&utm_medium=social&utm_campaign=repo_post