Open benchmark database for multidisciplinary optimization problems

Abstract

Solving new increasingly complex problems requires development of new methods and tools but verification of their correctness and efficiency in absence of actual experimental data is difficult. In this paper we propose an open database of benchmark cases for multidisciplinary optimization validation that will serve as a reference point for discovery and validation of optimization methods and facilitate adoption of such methods in the industry. The paper describes the goals of the database, the process of acquiring content to the database, its initial content and technical implementation.