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Automated Component‐Selection of Design Synthesis for Physical Architecture with Model‐Based Systems Engineering using Evolutionary Trade‐off
Author(s) -
Arifin Habibi Husain,
Chimplee Nasis,
Kit Robert Ong Ho,
Daengdej Jirapun,
Sortrakul Thotsapon
Publication year - 2018
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2018.00549.x
Subject(s) - component (thermodynamics) , computer science , architecture , systems modeling language , task (project management) , selection (genetic algorithm) , systems architecture , evolutionary algorithm , distributed computing , systems engineering , artificial intelligence , unified modeling language , engineering , art , physics , software , visual arts , thermodynamics , programming language
Component‐Selection is an important task in design synthesis of MBSE. A trade study is commonly used to help systems engineers and stakeholders selecting the components of a systems design. A simple analysis may be sufficient when it involves only two parameters. However, when the components and their integration become more complex, the trade study also becomes harder, time‐ and cost‐consuming, and error‐prone. This paper aims to propose a method to automatically generate the solution by performing an evolutionary search. Sample components of a hybrid car which consists of an engine, an electric motor, and a battery are used in our initial prototype. The logical architecture is represented in the OMG SysML TM via CSM TM . Through the experimental result, this paper shows that the proposed technique allowed the system design to be efficiently selected.