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dc.contributor.authorSit, Choon Fatt.
dc.description.abstractThe highly competitive and rapidly changing global business environment requires companies to deliver new products with higher quality, lower cost and shorter time to the market. To develop a successful product, the early design stage plays an extremely important role. This project explores the feasibility of adapting genetic algorithms in design concept generation. Firstly, relevant theories of conceptual design, design methodologies and genetic algorithms have been reviewed in this report. Next, a Genetic Algorithm-based Approach for Conceptual Design (GenAConD) was introduced and explained in detail. Based on design methodologies such as Morphological Matrix, Design for Assembly and Design for Manufacture, the approach facilitates generation and evaluation of design concepts. Adaptation of genetic algorithm has been explained in terms of data structure and the genetic operators. GenAConD is then tested and verified using a case study of Study Table design. With the case study, the strengths and limitations of GenAConD were then discussed and recommendations for future work were given.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Manufacturing::Product designen_US
dc.titleConceptual design support by a genetic algorithm based approachen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Chun-Hsienen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.supervisor2Khoo Li Phengen_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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