...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Simulation >An approach to simulation-based parameter and structure optimization of MATLAB/Simulink models using evolutionary algorithms
【24h】

An approach to simulation-based parameter and structure optimization of MATLAB/Simulink models using evolutionary algorithms

机译：基于进化算法的MATLAB / Simulink模型基于参数的参数和结构优化方法

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

In engineering, a broad range of environments exist for modeling and simulation with integrated parameter optimization. The established techniques only optimize model parameter values, the model structure is considered to be fixed. As system performance is optimized, one may have to redesign the model structure. The redesign is done manually by an analyst. The suboptimal combination of automatic parameter optimization and manual structural changes leads to an optimization task that is prone to error. This paper details an approach that provides optimization through automatic reconfiguration of both the model structure and model parameters. An optimization method that uses an evolutionary algorithm is supported by a model management method. This method is based on the system entity structure/model base framework. The admissible model structures and their associated model parameter sets are specified using the system entity structure ontology. Basic dynamic model components are organized in a model base. In addition to this, new algorithms are introduced. These map knowledge coded in the system entity structure to a set of numerical (structure) parameters, and also perform this mapping in reverse. In this manner a combined structure and parameter optimization problem is derived. Since both methods - evolutionary algorithm and model management - work together concurrently, different system configurations can be evaluated automatically. The objective is to provide an optimal solution; a model optimized for both parameter and structure.
机译：在工程中，存在用于集成参数优化的建模和仿真的广泛环境。现有技术仅优化模型参数值，模型结构被认为是固定的。随着系统性能的优化，人们可能不得不重新设计模型结构。重新设计由分析师手动完成。自动参数优化和手动结构更改的次优组合导致易于出错的优化任务。本文详细介绍了一种通过自动重新配置模型结构和模型参数来提供优化的方法。模型管理方法支持使用进化算法的优化方法。该方法基于系统实体结构/模型基础框架。使用系统实体结构本体指定可允许的模型结构及其关联的模型参数集。基本动态模型组件在模型库中组织。除此之外，还引入了新算法。这些将系统实体结构中编码的知识映射到一组数字（结构）参数，并且还反向执行此映射。以这种方式，得出了组合的结构和参数优化问题。由于进化算法和模型管理这两种方法可以同时工作，因此可以自动评估不同的系统配置。目的是提供最佳解决方案；为参数和结构优化的模型。

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