LEAP: Library for Evolutionary Algorithms in Python
stable

Contents:

  • Quickstart Guide
  • Prebuilt Algorithms
  • LEAP Concepts
  • Distributed LEAP
  • LEAP Metaheuristics
  • Building New Algorithms
  • Cookbook
  • Roadmap
LEAP: Library for Evolutionary Algorithms in Python
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Welcome to LEAP: Library for Evolutionary Algorithms in Python’s documentation!¶

Contents:

  • Quickstart Guide
    • Using LEAP
    • Documentation
    • Installing from Source
    • Citing LEAP
    • Acknowledgements
  • Prebuilt Algorithms
  • LEAP Concepts
    • Core Classes
    • Operator Pipeline
    • Detailed Explanations
  • Distributed LEAP
    • Synchronous fitness evaluations
    • Asynchronous fitness evaluations
  • LEAP Metaheuristics
  • Building New Algorithms
  • Cookbook
    • Enforcing problem bounds constraints
  • Roadmap

Indices and tables¶

  • Index

  • Module Index

  • Search Page

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© Copyright 2019, Jeffrey K. Bassett, Mark Coletti, and Eric O. Scott Revision fecc278e.

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