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Ranking of Pareto solutions based on projection free-energy

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RPPF

Ranking of Pareto solutions based on projection free-energy

Requirements

Python >= 3.7

Usage

Parameters

rho: int (parameter in augmented weighted Tchebycheff)

num_top: int (number of proposals)

wind: float (window of weights)

Tstar: float (value of Tstar)

Target dataset

The target dataset is prepared as data.csv.

The example is (two-dimensional property space) as follows.

name objective1 objective 2
Sc2O3 3.75 0.672
GeO2 3.05 0.518
: : :

In present, two- and three-dimensional property space can be targetted.

Execution

python rppf.py 

License

This project is licensed under the terms of the MIT license.

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Ranking of Pareto solutions based on projection free-energy

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