算法1027:NOMAD版本4:非线性优化与MADS算法

C. Audet, Sébastien Le Digabel, Viviane Rochon Montplaisir, C. Tribes
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引用次数: 26

摘要

NOMADis是一个最先进的软件包,用于优化黑箱问题。自2001年以来,随着科学出版物中发表的新算法特征的融合,它不断发展。这些特性是由工业合作伙伴遇到的实际应用程序驱动的。NOMAD最新的主要版本是2008年的版本3。小版本是随着新特性的加入而产生的。目前的工作描述了NOMAD 4,它是对以前版本的完全重新设计,具有提供更灵活的代码、添加的功能和可重用代码的新体系结构。我们介绍了算法组件,它们是更复杂算法的构建块,可以启动其他组件,启动嵌套算法或执行专门的任务。它们促进了新想法的实现,包括MegaSearchPoll组件、热重启和热重启,以及PsdMads算法的修订版本。NOMAD 4的另一个主要改进是并行性的使用,可以同时计算多个黑盒评估并最大限度地利用可用内核。运行不同的算法、调优它们的参数和比较它们的性能以进行优化比以前更简单,而版本3和版本4之间保持了总体优化性能。NOMAD可以在www.gerad.ca/nomad上免费获得,整个项目可以在github.com/bbopt/nomad上看到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm
NOMADis a state-of-the-art software package for optimizing blackbox problems. In continuous development since 2001, it constantly evolved with the integration of new algorithmic features published in scientific publications. These features are motivated by real applications encountered by industrial partners. The latest major release of NOMAD, version 3, dates to 2008. Minor releases are produced as new features are incorporated. The present work describes NOMAD 4, a complete redesign of the previous version, with a new architecture providing more flexible code, added functionalities, and reusable code. We introduce algorithmic components, which are building blocks for more complex algorithms and can initiate other components, launch nested algorithms, or perform specialized tasks. They facilitate the implementation of new ideas, including the MegaSearchPoll component, warm and hot restarts, and a revised version of the PsdMads algorithm. Another main improvement of NOMAD 4 is the usage of parallelism, to simultaneously compute multiple blackbox evaluations and to maximize usage of available cores. Running different algorithms, tuning their parameters, and comparing their performance for optimization are simpler than before, while overall optimization performance is maintained between versions 3 and 4. NOMAD is freely available at www.gerad.ca/nomad and the whole project is visible at github.com/bbopt/nomad.
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