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Awesome GitHub RepositoriesCompetitive Programming Solution Evolution

Evolving 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.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Competitive Programming Solution Evolution. Refine with filters or upvote what's useful.

Awesome Competitive Programming Solution Evolution GitHub Repositories

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  • algorithmicsuperintelligence/openevolvealgorithmicsuperintelligence 的头像

    algorithmicsuperintelligence/openevolve

    5,421在 GitHub 上查看↗

    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
    在 GitHub 上查看↗5,421
  • chrxh/alienchrxh 的头像

    chrxh/alien

    5,354在 GitHub 上查看↗

    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
    在 GitHub 上查看↗5,354
  1. Home
  2. Software Engineering & Architecture
  3. Trees
  4. Tree Node Templates
  5. Tree-Based Optimization
  6. Genetic Program Evolution
  7. Competitive Programming Solution Evolution

探索子标签

  • Digital Life EvolutionEvolving digital organisms with neural networks and genetic algorithms to develop complex behaviors without manual programming. **Distinct from Competitive Programming Solution Evolution:** Distinct from Competitive Programming Solution Evolution: focuses on evolving digital organisms in artificial life simulations, not solving programming challenges.