Biobjective Performance Assessment with the COCO Platform

Abstract

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.

References in corpus (2)

• COCO: Performance Assessment
• COCO: The Experimental Procedure

Cited by in corpus (4)

• Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front -- Extended Version
• A Two-phase Framework with a Bézier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization
• Surrogate-Assisted Partial Order-based Evolutionary Optimisation
• Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms