图 书 馆
基于模型的全局优化方法综述A Survey of Model-Based Methods for Global Optimization |
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| 课程网址: | http://videolectures.net/bioma2016_bartz_beielstein_based_methods... |
| 主讲教师: | Thomas Bartz-Beielstein |
| 开课单位: | TH Köln（应用科学大学） |
| 开课时间: | 2016-05-31 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This article describes model-based methods for global optimization. After introducing the global optimization framework, modeling approaches for stochastic algorithms are presented. We differentiate between models that use a distribution and models that use an explicit surrogate model. Fundamental aspects of and recent advances in surrogate-model based optimization are discussed. Strategies for selecting and evaluating surrogates are presented. The article concludes with a description of key features of two state-of-the-art surrogate model based algorithms, namely the evolvability learning of surrogates (EvoLS) algorithm and the sequential parameter optimization (SPO). This lecture is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 692286. |
| 关 键 词: | 全局优化; 建模方法; 随机算法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-07-24：chenxin01 |
| 最后编审: | 2023-07-24：chenxin01 |
| 阅读次数: | 18 |