PPolySim OS
Use case · powered by Perceptron

Perceptron for a genetic algorithm

Simulate a genetic algorithm live in your browser. This runs the real Perceptron solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

PerceptronLive

Controls

Presets

The perceptron — the ancestor of every neural network — nudges a straight boundary each time it misclassifies a point. If the two classes are linearly separable it is guaranteed to find a dividing line; if they overlap, it never quite settles. Educational tool.

▶ Run in Python

Data Inspector

Modellinear classifier
Converges?yes (separable)

Governing equation

Reading this result: Moderate separation with a gentle learning rate: the boundary drifts steadily toward a clean split over many passes.

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 Perceptron tool models a genetic algorithm 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 Perceptron

Other ways to simulate a genetic algorithm

Frequently asked questions

How do I simulate a genetic algorithm?
Open this page and use the live Perceptron 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 genetic algorithm from your own measurements.