Product Material Combination Image Method Based on GEP

Ke Su () and Sheng-li Kong
Additional contact information
Ke Su: Shandong Polytechnic University
Sheng-li Kong: Shandong Polytechnic University

Chapter Chapter 25 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 235-243 from Springer

Abstract: Abstract Materials are the stuff of design. From the very beginning of human history, materials have been taken from the natural world and shaped, modified, and adapted for everything from primitive tools to modern electronics. Aiming at the need for product material combination, this study presents a product material combination decision-making method based on Gene Expression Programming (GEP). The semantics differential method is utilized to extract user image, multidimensional scaling is utilized to select cognitive samples. GEP was utilized to construct the image and the material models. Finally, implementation of this proposed method is demonstrated high stability via a seat case.

Keywords: GEP; Image; Material combination; Product design (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_25

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_25

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().