After an optimization run finishes and the user closes the optimization progress window, the Optimizer Result window opens and displays the results of the optimization run as a 2-dimensional scatter plot of dots.
In case of a single objective optimization the window displays the same objective on the two axes, with the scatter plot accordingly a diagonal and the optimum solution closest to the plot’s origin.
Example of a single objective algorithm to optimize a roof for all planar panels.
Less optimal computed solution of the example to optimize for all planar panels.
In case of a dual or multi-objective optimization the window displays two different objectives on the two axes:
The dark blue dots are non-dominated solutions (see Appendix 1) in the two dimensions of the plot, while the light blue dots are non-dominated solutions under inclusion of the other dimensions of the problem.
For dual- or multi-objective optimization results it is possible to switch which objective is plotted against which axis. This permits users to explore the trade-off that may exist between the various objectives.