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EvOC
Run & 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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EvOC Logo
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Get Started
/introduction
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See Features in Action
/user-guide/ea-run
features
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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.
/user-guide/ea-run
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Powerful Visualizations
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Instantly visualize algorithm progress with fitness plots, understand results with GP trees, or observe swarm behavior with PSO animations.
/user-guide/ea-run
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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.
/user-guide/ea-run
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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.
/user-guide/ml-run
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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!
/user-guide/ea-run
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Execute, Save & Collaborate
🚀
Run experiments, track your execution history, download logs, and easily share your configurations and results with others.
/user-guide/ea-run