Universal optimizer - Optimization algorithms library

Library Universal optimizer contains various optimization methods. Library is developed in Python programming language, using poetry tool for project management, unittest library for unit testing and Sphinx for documentation generation.

Tutorials and How-To Guides

• Tutorials
• How-to Guides

In-depth Information

• Implemented algorithms
  • Implemented exact algorithms
    • Total Enumeration
  • Implemented metaheuristic algorithms
    • Variable Neighborhood Search
      • Basic information
      • Structure of the algorithm
      • Implementation notes
      • References
    • Genetic Algorithm
      • Basic information
      • Implementation notes
      • References
• Problems to be solved
  • Ones Count Max Problem
  • Minimum Multi Cut Problem
  • Minimum Set Cover Problem
    • Problem Definition
  • Function One Variable Max Problem

Program code

• Library
  • uo package
    • Subpackages
      • uo.algorithm package
      • uo.problem package
      • uo.solution package
      • uo.utils package
    • Module contents
• Optimization
  • opt package
    • Subpackages
      • opt.multi_objective package
      • opt.single_objective package
    • Module contents

Changelog and Contribution

• Changelog
• How to Contribute
• Contributors
  • Contribution domains
  • Contributor List

Indices and tables

• Index

• Module Index

• Search Page