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Awesome GitHub RepositoriesGenetic Program Evolution

Represents solutions as tree structures and applies crossover, mutation, and selection to evolve them over generations.

Distinct from Tree-Based Optimization: Distinct from general Tree-Based Optimization: specifically for evolving programs via genetic operators, not for DP-based tree aggregation.

Explore 3 awesome GitHub repositories matching software engineering & architecture · Genetic Program Evolution. Refine with filters or upvote what's useful.

Awesome Genetic Program Evolution GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • deap/deapDEAP का अवतार

    DEAP/deap

    6,336GitHub पर देखें↗

    Represents solutions as tree structures and evolves them using crossover, mutation, and selection.

    Python
    GitHub पर देखें↗6,336
  • algorithmicsuperintelligence/openevolvealgorithmicsuperintelligence का अवतार

    algorithmicsuperintelligence/openevolve

    5,421GitHub पर देखें↗

    OpenEvolve is an open-source framework for evolutionary computation that uses language models to drive automated optimization across multiple domains. It can evolve system prompts for large language models, refine source code across programming languages, search for optimal GPU kernel configurations, discover interpretable mathematical expressions from data, and maintain diverse populations of high-performing solutions. The framework integrates multiple evolutionary strategies, including MAP-Elites diversity mapping and island-based topologies, to avoid premature convergence and preserve a wid

    Evo evolves a program that passes all test cases on an online judge by iteratively mutating and selecting candidate solutions.

    Pythonalpha-evolvealphacodealphaevolve
    GitHub पर देखें↗5,421
  • chrxh/alienchrxh का अवतार

    chrxh/alien

    5,354GitHub पर देखें↗

    Evolve is an evolution-based organism designer and GPU-accelerated artificial life simulator that combines interactive particle physics with a real-time simulation editor. At its core, it runs genetic algorithm evolution on self-replicating graph structures to evolve digital organisms, offloading particle physics, neural networks, and rendering entirely to the GPU through a compute shader pipeline for real-time performance. The project distinguishes itself with graph-based organism design that uses a directed graph editor to visually define organism structure, connections, and neural controll

    Evolves digital organisms with neural networks and genetic algorithms to develop complex behaviors without manual programming.

    C++agent-based-simulationartificial-lifecuda
    GitHub पर देखें↗5,354
  1. Home
  2. Software Engineering & Architecture
  3. Trees
  4. Tree Node Templates
  5. Tree-Based Optimization
  6. Genetic Program Evolution

सब-टैग एक्सप्लोर करें

  • Competitive Programming Solution Evolution1 सब-टैगEvolving programs that pass all test cases on online judges through iterative mutation and selection. **Distinct from Genetic Program Evolution:** Distinct from Genetic Program Evolution: targets competitive programming problems with test-case validation, not general program evolution.