Swarm-based evaluation of nonparametric SysML mechatronics system design

Mohammad Chami, Haitham Bou-Ammar, H. Voos, K. Tuyls, Gerhard Weiss
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引用次数: 3

Abstract

The design of a mechatronics system is considered one of the hardest challenges in industry. This is mainly due to the multidisciplinary nature of the design process that requires the knowledge integration of the participating disciplines. Previously, we have proposed SysDICE a framework that is capable of: (1) modeling the multidisciplinary information of mechatronics systems using SysML and (2) adopting a nonparametric technique for evaluating such a SysML model. In SysDICE the optimization that led to the determination of the best alternative combinations for satisfying the requirements was time-costly and discarded prohibited combinations. This paper contributes by: (1) proposing an effective method for restricting the set of possible alternative combinations and (2) employing a swarm intelligence based optimization scheme which significantly reduces the computational cost of SysDICE.
基于群的非参数SysML机电系统设计评价
机电一体化系统的设计被认为是工业中最困难的挑战之一。这主要是由于设计过程的多学科性质,需要参与学科的知识整合。在此之前,我们提出了SysDICE框架,该框架能够:(1)使用SysML对机电一体化系统的多学科信息建模,(2)采用非参数技术来评估这样的SysML模型。在SysDICE中,导致确定满足要求的最佳替代组合的优化是费时的,并且丢弃了禁用组合。本文的贡献在于:(1)提出了一种有效的方法来限制可能的备选组合集;(2)采用了一种基于群体智能的优化方案,显著降低了SysDICE的计算成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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