Biobjective Performance Assessment with the COCO Platform
This work provides a standardized evaluation method for multi-objective optimization algorithms, which is incremental as it builds upon existing COCO platform frameworks.
The paper tackles the problem of assessing the performance of numerical black-box optimizers on multi-objective problems, specifically using the biobjective test suite bbob-biobj within the COCO platform, by evaluating runtime until hypervolume targets are achieved.
This document details the rationales behind assessing the performance of numerical black-box optimizers on multi-objective problems within the COCO platform and in particular on the biobjective test suite bbob-biobj. The evaluation is based on a hypervolume of all non-dominated solutions in the archive of candidate solutions and measures the runtime until the hypervolume value succeeds prescribed target values.