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🧪 AI Genetic Algorithm – Selection Pressure

Interactive genetic algorithm simulation - learn how evolutionary computation and natural selection work in artificial intelligence. Study the theory, history, and practical applications of evolutionary algorithms.

Genetics & Evolution2DModerate60 FPS

⚙ Under the hood

This simulation allows you to observe and manipulate a population of virtual creatures evolving through generations using the principles of a genetic algorithm. By adjusting parameters like mutation rate and selection pressure, you can witness how algorithms optimize solutions for complex problems. A control trims the population before breeding, showing how harsher selection speeds convergence. Adds a control that culls the population before breeding, showing how harsher selection speeds convergence.

Genetic AlgorithmOptimization

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