학술논문

Analytical Benchmark Problems for Multifidelity Optimization Methods
Document Type
Working Paper
Source
Subject
Mathematics - Optimization and Control
Computer Science - Computational Engineering, Finance, and Science
Language
Abstract
The paper presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multifidelity optimization methods. In addition, the paper discusses a comprehensive ensemble of metrics and criteria recommended for the rigorous and meaningful assessment of the performance of multifidelity strategies and algorithms.