Post-processing¶
This page lists the available algorithms for analyzing and visualizing the results of a scenario. The other feature catalogs are listed on this page.
-
Animated GIF maker from a :class:
.BasePost. -
Plot the history of selected constraint, objective and observable functions.
-
BiLevelOuterApproximationHistoryClass for post-processing BiLevel Outer Approximation history.
-
Abstract class for optimization post-processing methods.
-
Scatter plot with pareto front and compromise points.
-
A matrix of constraint history plots.
-
Scatter plots of the correlated variables.
-
Scatter plot of the model data versus the reference ones.
-
Derivatives of the objective and constraints at a given iteration.
-
Plot the history of the diagonal of the Hessian matrix.
-
Scatter plot with pareto front and high trade-off points.
-
Base class for post-processing of multi-objective problems.
-
History of the maximum constraint and objective value.
-
Plot the history of the design variables, objective and constraints.
-
Class for post-processing BiLevel Outer Approximation history.
-
Parallel coordinates plot.
-
Compute the Pareto front for a multi-objective problem.
-
Petal diagrams <https://pymoo.org/visualization/petal.html>_). -
Quadratic approximation of a function.
-
Radar plots <https://pymoo.org/visualization/radar.html>_. -
Plot the constraints on a radar chart at a given dataset index.
-
Uncertainty quantification at the optimum.
-
Scatter plot with pareto points and points of interest.
-
Scatter plot matrix among design variables, output functions and constraints.
-
Self organizing map clustering optimization history.
-
The class for Topology Optimization Animations.
-
Visualization of the solution of a 2D topology optimization problem.
-
Best design animation.
-
First order variable influence analysis.
The data of this page were collected on 2026-09-17 from the latest version of each package.