GTOPX Space Mission Benchmarks

TL;DR

GTOPX is an extended benchmark collection for space mission trajectory design, including new problem instances and multi-language support, aimed at testing advanced optimization algorithms.

Contribution

Introduces the GTOPX benchmark collection with new instances, improved usability, and multi-language support, enhancing space trajectory optimization research tools.

Findings

Includes three new mixed-integer and multi-objective problems.

Provides unified interface and bug fixes for GTOP.

Enables fast, accurate benchmarking across C++, Python, and Matlab.

Abstract

This contribution introduces the GTOPX space mission benchmark collection, which is an extension of GTOP database published by the European Space Agency (ESA). GTOPX consists of ten individual benchmark instances representing real-world interplanetary space trajectory design problems. In regard to the original GTOP collection, GTOPX includes three new problem instances featuring mixed-integer and multi-objective properties. GTOPX enables a simplified user handling, unified benchmark function call and some minor bug corrections to the original GTOP implementation. Furthermore, GTOPX is linked from it's original C++ source code to Python and Matlab based on dynamic link libraries, assuring computationally fast and accurate reproduction of the benchmark results in all three programming languages. Space mission trajectory design problems as those represented in GTOPX are known to be highly non-linear and difficult to solve. The GTOPX collection, therefore, aims particularly at researchers wishing to put advanced (meta)heuristic and hybrid optimization algorithms to the test. The goal of this paper is to provide researchers with a manual and reference to the newly available GTOPX benchmark software.