GTOPX space mission benchmarks

This contribution introduces the GTOPX space mission benchmark collection, which is an extension of the GTOP database published by the European Space Agency (ESA). The term GTOPX stands for Global Trajectory Optimization Problems with eXtension. 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 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 programming languages. We performed a comprehensive landscape analysis to characterize the properties of the fitness landscape of GTOPX benchmarks. 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 in particular at researchers wishing to put advanced (meta)heuristic and hybrid optimization algorithms to the test. (C) 2021 The Author(s). Published by Elsevier B.V.

Automated summary

The GTOPX space mission benchmark collection is an extension of the GTOP database, featuring ten benchmark instances representing real-world interplanetary space trajectory design problems. By linking to Python and Matlab based on dynamic link libraries, GTOPX ensures fast and accurate reproduction of benchmark results in all programming languages. GTOPX aims to support researchers who wish to tackle nonlinear challenges with advanced algorithms.