pyMCMA: uniformly distributed Pareto-front representation

Contents:

• About
  • Requirements
  • Installation
    • Creating and/or activating the Conda environment
    • Installation of the pyMCMA
    • Installing examples and templates
    • Running the provided example of analysis
    • Experimenting with diverse analyses
  • Ready to go
• User Guide
  • Overview of pymcma
    • Issues common for both tasks
  • Development of the core model
    • Modeling environment
    • Variables representing criteria
    • Model testing
    • Export of the model instance
    • Example of a core-model generation and export
  • Computation of the Pareto-front representation
    • Overview
    • Required configuration items
    • Optional configuration items
  • Results of analyses
  • Summary