Alliance University, Bengaluru
Institutional Repository
Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14429| Title: | A Rigorous Computational Comparison of Alternative Solution Methods for the Generalized Assignment Problem |
| Authors: | Mohammad M. Amini Michael Racer |
| Keywords: | leading algorithmic and heuristic alternatives heuristic Variable-Depth Search Heuristic (VDSH). |
| Issue Date: | 1994 |
| Publisher: | Journal of the Institute of Management Sciences |
| Abstract: | Statistical experimental design and analysis is a cornerstone for scientific inquiry that is rarely applied in reporting computational testing. This approach is employed to study the relative performance characteristics of the four leading algorithmic and heuristic alternatives to solve the Linear Cost Generalized Assignment Problem (LCGAP) against a newly developed heuristic, Variable-Depth Search Heuristic (VDSH). |
| URI: | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14429 |
| Appears in Collections: | Articles to be qced |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| A Rigorous Computational Comparison.pdf | 10.12 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.