evomo.metrics.gd#

Functions#

gd(objs, pf)

Calculate the Generational Distance (GD) metric between a set of solutions and the Pareto front.

Module Contents#

evomo.metrics.gd.gd(objs: torch.Tensor, pf: torch.Tensor)#

Calculate the Generational Distance (GD) metric between a set of solutions and the Pareto front.

Parameters:

  • objs – A tensor of shape (n, m), where n is the number of solutions and m is the number of objectives. Represents the set of solutions to be evaluated.

  • pf – A tensor of shape (k, m), where k is the number of points on the Pareto front and m is the number of objectives. Represents the true Pareto front.

Returns:

The GD score, a scalar representing the average distance of the solutions to the Pareto front.

Note:

The GD score is lower when the approximation is closer to the Pareto front.