IOHexperimenter:用于代优化启发性的基准测试平台
Jacob de Nobel1, Furong Ye2, Diederick Vermetten3
1LIACS, Leiden University, the Netherlands j.p.de.nobel@liacs.leidenuniv.nl.
Evolutionary computation
|July 24, 2023
概括
IOHexperimenter是一个新的工具箱,用于比较优化算法,如本地搜索和遗传算法. 它提供可定制的问题套件和详细的日志记录,以进行高效的性能分析.
科学领域:
- 计算智能是一种计算智能.
- 算法分析算法分析算法分析算法
- 优化技术的优化技术
背景情况:
- 基准测试代优化启发式测试对于性能评估至关重要.
- 现有的工具可能缺乏灵活性或详细的日志记录功能.
- IOHprofiler项目旨在为实证算法分析提供一个全面的环境.
研究的目的:
- 介绍IOHexperimenter,这是IOHprofiler项目的实验模块.
- 提供一个用户友好和可定制的工具箱,用于对各种代优化启发的基准测试.
- 促进高效的性能分析和优化算法的比较.
主要方法:
- IOHexperimenter提供了一个创建定制问题套件的环境.
- 它为优化过程提供了颗粒式日志记录选项.
- 该模块确保与精简基准测试管道的现有数据分析工具的兼容性.
主要成果:
- IOHexperimenter 能够轻松对本地搜索,进化算法和贝叶斯优化等算法进行基准测试.
- 它在优化问题及其解决者之间提供了一个高效的接口.
- 颗粒式伐木显著加快了基准测试管道的部署.
结论:
- IOHexperimenter是研究人员和从业人员在代优化中的一个有价值和灵活的工具.
- 它的可定制性和详细的日志记录提高了算法基准测试的效率和深度.
- 该模块与IOHprofiler环境无集成,促进可重复的研究.
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