GTOPX space mission benchmarks
GTOPX space mission benchmarks
复制标题
GTOPX 太空任务基准
DOI：
10.1016/j.softx.2021.100666
复制
发表时间：
2021
期刊：
影响因子：
3.4
通讯作者：
Wagner Markus
中科院分区：
文献类型：
--
作者：
Schlueter Martin;Neshat Mehdi;Wahib Mohamed;Munetomo Masaharu;Wagner Markus
这份材料介绍了GTOPX空间飞行任务基准集合，它是欧洲航天局(欧空局)出版的GTOP数据库的扩展。术语GTOPX是GlobalTrajectoryOptimizationProblems with Expansion的缩写。GTOPX由10个单独的基准实例组成，代表了真实世界的行星际空间轨道设计问题。关于原始的GTOP集合，GTOPX包括三个新的问题实例，具有混合整数和多目标属性。GTOPX实现了简化的用户处理、统一的基准函数调用以及对原始GTOP实现的一些小错误更正。此外，GTOPX基于动态链接库从原始C++源代码链接到Python和MatLab，确保了所有编程语言的基准测试结果在计算上的快速和准确再现。我们进行了全面的景观分析，以表征GTOPX基准的适应性景观的属性。众所周知，GTOPX所代表的空间任务轨道设计问题是高度非线性的，很难解决。因此，GTOPX集合特别针对希望测试高级(元)启发式和混合优化算法的研究人员。
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 forGlobalTrajectoryOptimizationProblems 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.