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Manufacturing Process Optimizer 2D — Genetic Algorithm Live

Watch a real genetic algorithm evolve a population of process-parameter settings (temperature, pressure, speed) via tournament selection, blend crossover and Gaussian mutation, plotted flat on a 2D canvas as it converges live on the setting that maximizes simulated yield.

AI & Machine Learning2DModerate60 FPS⇄ 3D version

This 2D companion runs the exact same genetic algorithm as the 3D version — seeded RNG, tournament selection, blend crossover, Gaussian mutation, elitism — over the same multi-peaked simulated-yield landscape, but plots the population flat: temperature on the x-axis, pressure on the y-axis, dot size for speed and colour for fitness, so the convergence toward the gold best-ever marker is easy to read at a glance.

⚙ Under the hood

Same GA as the 3D original (tournament selection, BLX-alpha crossover, Gaussian mutation, elitism) over a 5-peak synthetic yield landscape, viewed as a 2D scatter plot with a live best-fitness chart.

genetic algorithmevolutionary optimizationtournament selectioncrossovermutationfitness landscape

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install