EvOCRun & Visualize EAs with Just a Click

A user-friendly framework (Evolve On Click) for designing, executing, and analyzing various evolutionary algorithms (EA, GP, PSO, ML Tuning) through an intuitive graphical interface. Perfect for learners, researchers, and educators – no coding required to get started!

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See Features in Action

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Intuitive Configuration

Visually configure parameters for Genetic Algorithms (GA), Genetic Programming (GP), Particle Swarm Optimization (PSO), and EA for ML Tuning via a simple GUI.

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Powerful Visualizations

Instantly visualize algorithm progress with fitness plots, understand results with GP trees, or observe swarm behavior with PSO animations.

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Transparent Code Generation

Generate the underlying Python code (using the DEAP library) based on your GUI setup for transparency, learning, or further customization.

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EA for ML Tuning

Optimize Machine Learning model features or hyperparameters using Evolutionary Algorithms. Easily connect your data via Google Drive links.

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AI-Powered Explanations

Don't understand the generated code or a specific EA concept? Ask the integrated EvOC AI for a clear explanation!

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Execute, Save & Collaborate

Run experiments, track your execution history, download logs, and easily share your configurations and results with others.