ECF is a framework intended for application of any type of evolutionary computation (GA/GP, DE, Clonalg, ES, PSO, ABC, GAn, local search...). It offers simplicity for the end-user (parameterless usage, tutorial) and customization for experienced EC practicioners.

Features

  • plug and play components: genotypes, algorithms, genetic operators
  • tutorial example for each supported genotype
  • seamless integration of genotypes, genotype independent algorithms
  • high-level algorithm description
  • checkpointing, repeated runs, configurable termination criteria
  • parallel execution with MPI

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Evolutionary Computation Framework

Evolutionary Computation Framework Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Evolutionary Computation Framework!

Additional Project Details

Intended Audience

Advanced End Users, Developers, Engineering, Information Technology, Science/Research

Programming Language

C++

Related Categories

C++ Genetic Algorithms, C++ Frameworks, C++ Artificial Intelligence Software

Registered

2011-10-06