Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/4752
| Title: | Hybrid approach for 2D strip packing problem using genetic algorithm |
| Authors: | Thomas, Jaya Chaudhari, Narendra S. |
| Keywords: | Design layout;Fitness functions;Hybrid approach;Random keys;Strip packing;Strip packing problem;Trim loss;Two-dimensional cutting stocks;Integer programming;Neural networks;Genetic algorithms |
| Issue Date: | 2013 |
| Citation: | Thomas, J., & Chaudhari, N. S. (2013). Hybrid approach for 2D strip packing problem using genetic algorithm doi:10.1007/978-3-642-38679-4_57 |
| Abstract: | In this paper we have studied the two-dimensional cutting stock problem, in which large number of small rectangles are to be placed in the big container such that the trim loss and height of the layout is minimized. We have proposed a placement approach along with a relevant fitness function to evaluate the overall goodness of the design layout. The computation results validate the solution and the effectiveness of the approach. © 2013 Springer-Verlag Berlin Heidelberg. |
| URI: | https://doi.org/10.1007/978-3-642-38679-4_57 https://dspace.iiti.ac.in/handle/123456789/4752 |
| ISBN: | 9783642386787 |
| ISSN: | 0302-9743 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Computer Science and Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Altmetric Badge: