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.
翻译:GTOPX介绍了GTOPX空间飞行任务基准收集,GTOPX是欧洲航天局(欧空局)出版的GTOPO数据库的延伸。GTOPX由代表现实世界行星际空间轨迹设计问题的十个单个基准实例组成。关于最初的GTOPOPS收集,GTOPX包括三个新的问题实例,包括混合整数和多目标属性。GTOPX使用户处理简化、统一基准功能调用和一些微小错误校正与最初的GTOP执行。此外,GTOPX从最初的C++源代码与基于动态链接图书馆的Python和Matlab相链接,确保对所有三种程序语言的基准结果进行快速和准确的计算复制。据知,GTOPX所代表的空间飞行任务轨迹设计问题高度非线性,难以解决。因此,GTOPX的收集特别针对希望将高级(元)重精度和混合精度精度精度优化算法用于测试的研究人员。本文件的目标是向研究人员提供手册,并参考最新提供的GTOPX基准软件。