PHYSBO

Contents:

  • Introduction
  • Basic usage
  • Tutorials
    • Basic usage of PHYSBO
    • Gaussian process
    • Running PHYSBO interactively
    • Restart calculations by reading existing calculation results
    • Search multiple candidates at once
    • Multi-objective optimization
  • Algorithm
  • API Reference
  • Acknowledgement
  • Contact
PHYSBO
  • Tutorials
  • View page source

Tutorials

Here, the usage of PHYSBO is introduced through tutorials.

Contents:

  • Basic usage of PHYSBO
    • Introduction
    • Defining the search space
    • Defining the simulator class
    • Performing optimization
    • Checking the results
    • Serializing the results
    • Prediction
    • Acquisition function
    • Parallelization
  • Gaussian process
    • Preparation of search candidate data
    • Defining training data
    • Learning and Prediction of Gaussian Processes
    • Prediction by trained models
  • Running PHYSBO interactively
    • Preparation of search candidate data
    • Definition of simulator
    • Executing optimization
    • Suspend and restart
  • Restart calculations by reading existing calculation results
    • Prepare the search candidate data
    • Preparing the precomputed data
    • Register action ID (parameter) and evaluation value to PHYSBO.
    • Get the next parameter to be executed from PHYSBO
  • Search multiple candidates at once
    • Prepare the search candidate data
    • Definition of simulator
    • Performing optimizations
    • Checking results
  • Multi-objective optimization
    • Test functions
    • Preparation of search candidate data
    • Definition of simulator
    • Plotting the functions
    • Performing optimizations.
    • Setting policy
    • Bayesian optimization
    • Appendix: Full search
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