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Automated Generation and Analysis of Dynamic System Designs

机译：自动生成和分析动态系统设计

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This research uses Genetic Algorithms (GA) to suggest new dynamic systems based on topological remapping of system constituents. The bondgraph representation of the dynamic system behavior is evolved by the operators encapsulated in the genetic algorithms to meet the specified design criteria. The resultant evolved graph is assembled by designers with schemes to produce design variants. Behavioral transformation and structural transformation are adopted as strategies to generate design variants that extend beyond the scope of parametric design into innovative design. Behavioral transformation involves changes in the structure of the representation graphs, while maintaining the functions. Structural transformation involves changes in the components and the subsystems represented by the graph fragments. GAs are used to implement the operators of the transformation to search the problem-solution space because GAs are very robust search routines. Further, since the goal is to generate many solutions, genetic speciation is used to diverge the search so as to uncover other desirable solutions. The dynamic systems are modeled using bond graphs. Bond graphs provide a unified approach to the analysis, synthesis and evaluation of dynamic engineering systems. Though the scope of this investigation is limited to systems represented by bond graphs, the domain is wide enough to include many interesting applications like pump systems and vibration isolation systems.
机译：这项研究使用遗传算法（GA）来建议基于系统组成部分的拓扑重新映射的新动态系统。动态系统行为的键图表示由封装在遗传算法中的运算符演化而来，以满足指定的设计标准。设计师根据方案组合生成的演化图以产生设计变体。行为转换和结构转换被用作生成设计变型的策略，这些变型已超出参数设计的范围，扩展到创新设计。行为转换涉及在保持功能的同时改变表示图的结构。结构转换涉及由图形片段表示的组件和子系统的更改。由于GA是非常强大的搜索例程，因此GA用于实现转换的运算符以搜索问题解决空间。此外，由于目标是产生许多解决方案，因此使用遗传物种形成使搜索多样化，从而发现其他所需的解决方案。动态系统是使用键图建模的。键图为动态工程系统的分析，综合和评估提供了统一的方法。尽管此研究的范围仅限于以键图表示的系统，但其范围足够广泛，可以包括许多有趣的应用程序，例如泵系统和隔振系统。

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