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基于代理的约束多目标优化

Surrogate-based Constrained Multi-Objective Optimization
课程网址: http://videolectures.net/mla09_forrester_sbcmoo/  
主讲教师: Alexander Forrester
开课单位: 南安普顿大学
开课时间: 2009-07-20
课程语种: 英语
中文简介:
航空航天设计与长期运行和计算密集型仿真的使用同义,这些仿真用于在存在多个竞争目标和约束的情况下寻找最佳设计。 数字“噪声”和模拟数据的不准确性以及复杂模拟的弱点往往会加剧这种搜索的难度,即它们通常无法返回结果。 可以采用基于代理的优化方法来解决,减轻或避免与这种搜索相关的问题。 本演示文稿概述了使用基于高斯过程的代理的约束多目标优化,重点是处理现实问题。
课程简介: Aerospace design is synonymous with the use of long running and computationally intensive simulations, which are employed in the search for optimal designs in the presence of multiple, competing objectives and constraints. The difficulty of this search is often exacerbated by numerical `noise' and inaccuracies in simulation data and the frailties of complex simulations, that is they often fail to return a result. Surrogate-based optimization methods can be employed to solve, mitigate, or circumvent problems associated with such searches. This presentation gives an overview of constrained multi-objective optimization using Gaussian process based surrogates, with an emphasis on dealing with real-world problems.
关 键 词: 航空航天设计; 高斯过程; 计算密集型仿真
课程来源: 视频讲座网
最后编审: 2019-06-28:cjy
阅读次数: 135