Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/91695
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Seeding the initial population of multi-objective evolutionary algorithms: A computational study |
Author: | Friedrich, T. Wagner, M. |
Citation: | Applied Soft Computing, 2015; 33:223-230 |
Publisher: | Elsevier |
Issue Date: | 2015 |
ISSN: | 1872-9681 1872-9681 |
Statement of Responsibility: | Tobias Friedrich, Markus Wagner. |
Abstract: | Abstract not available |
Keywords: | Multi-objective optimization; Approximation; Comparative study; Limited evaluations |
Rights: | © 2015 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.asoc.2015.04.043 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140103400 |
Published version: | http://dx.doi.org/10.1016/j.asoc.2015.04.043 |
Appears in Collections: | Aurora harvest 2 Computer Science publications |
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.