PPolySim OS
Use case · powered by Ant Colony Optimization

Ant Colony Optimization for a gridlock

Simulate a gridlock live in your browser. This runs the real Ant Colony Optimization solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

Ant Colony OptimizationLive

Controls

Presets

Simulated ants lay pheromone (cyan) on short routes; trails evaporate over time so good paths reinforce and bad ones fade. The colony collectively finds near-optimal tours of the Traveling Salesman Problem — the green loop is the best so far.

▶ Run in Python

Data Inspector

Iteration0
Best tour0
Cities15

Governing equation

Reading this result: With 15 cities and 20 ants, 10% evaporation balances exploring new edges against reinforcing the best tour found so far.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

About this simulation

The full Ant Colony Optimization tool models a gridlock with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Ant Colony Optimization

Other ways to simulate a gridlock

Frequently asked questions

How do I simulate a gridlock?
Open this page and use the live Ant Colony Optimization tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?
Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?
Absolutely — every input is adjustable, and with data import you can drive a gridlock from your own measurements.