...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of aerospace engineering >Efficient Design Optimization Assisted by Sequential Surrogate Models
【24h】

Efficient Design Optimization Assisted by Sequential Surrogate Models

机译：高效的设计优化通过顺序代理模型辅助

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The paper proposes a global optimization algorithm employing surrogate modeling and adaptive infill criteria. The surrogates are exploited to screen the design space and provide lower-fidelity predictions across it; on the other hand, specific criteria are designed to suggest new points for high-fidelity evaluation so as to enrich the optimizer database. Both Kriging and radial basis function network are used as surrogates with different training strategies. Sequential design is achieved by introducing several infill criteria according to the realization of the exploration-exploitation trade-off. Optimization results are provided both for scalable and analytical test functions and for a practical aerodynamic shape optimization problem.
机译：本文提出了一种采用替代建模和自适应填筑标准的全局优化算法。替代物被利用来筛选设计空间并在其上提供低保真预测;另一方面，特定标准旨在为高保真评估建议新点，以丰富优化器数据库。 Kriging和径向基函数网络都用作具有不同培训策略的代理人。根据勘探开发权衡的实现，通过引入几个填写标准来实现顺序设计。提供优化结果对于可扩展和分析测试功能，以及用于实际的空气动力学形状优化问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号