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ContentsΒΆ

This document serves as documentation for the COCO (COmparing Continuous Optimizers) software.

This software was mainly developed in the TAO team.

COCO’s website: http://coco.gforge.inria.fr/

Download the pdf version of this documentation.

Contents:

  • Introduction
  • Installation
    • Requirements
    • Interactive Python
  • What is the purpose of COCO?
  • First Time Using COCO
    • Running Experiments
    • Post-Processing
    • Write/Compile an Article
  • Black-Box Optimization Benchmarking Procedure
    • Symbols, Constants, and Parameters
    • Benchmarking Experiment
    • Time Complexity Experiment
    • Parameter Setting and Tuning of Algorithms
    • Performance Measurement
  • Running Experiments with COCO
    • exampleexperiment and exampletiming
    • Testing New Functions
  • Post-Processing with COCO
    • Overview of the bbob_pproc Package
    • Standard Use of the bbob_pproc Package
    • Post-Processing from the Python Interpreter
  • Python API
    • fgeneric
    • bbobbenchmarks
  • bbob_pproc API
    • Post-processing Routines
    • Figures and Tables
    • bbob_pproc.comp2
    • bbob_pproc.compall
    • bbob_pproc
    • bbob_pproc.rungeneric
    • bbob_pproc.rungeneric1
    • bbob_pproc.rungeneric2
    • bbob_pproc.rungenericmany
    • bbob_pproc.genericsettings
  • Acknowledgments

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