STN Analytics is a web app that compares optimization algorithms by visualizing their search trajectories, revealing time-based behavior and complementing numeric results—especially useful for stochastic methods.

Features:

• 🖥️ Interactive Visualization: 3D, Fitness View, and 2D networks. Entirely written in JS using Three.js and D3.js for performance.
• 📊 Comparative Analysis: Overlay multiple algorithms, runs, or parameter settings.
• 📈 Dashboard: Key metrics and statistical tests (e.g., Mann-Whitney U).
• 🔗 Clustering: Group similar solutions with Hierarchical Agglomerative Clustering (HAC).
• 💾 Session Management: Save and resume your analysis.
• 🔎 And more!

❓ Questions You Can Explore with STN Analytics:

• How does the same algorithm behave under different parameter configurations?
• How do Algorithm A and Algorithm B perform on larger instances?
• Which runs tend to converge faster or get stuck in local optima?
• How do stochastic variations affect overall search trajectories?
• Can clustering of solution trajectories reveal patterns between similar algorithms?

Currently in Beta. Feedback is welcome through the app form or by sending me a message :-)

URL: https://www.stn-analytics.com/