Ant colony optimisation algorithm for multiobjective subset selection problems. Issue 24 (1st November 2019)
- Record Type:
- Journal Article
- Title:
- Ant colony optimisation algorithm for multiobjective subset selection problems. Issue 24 (1st November 2019)
- Main Title:
- Ant colony optimisation algorithm for multiobjective subset selection problems
- Authors:
- Liu, Yi
Zhou, Hao
Wang, Yanzhen
Ren, Xiaoguang
Diao, Xingchun - Abstract:
- Abstract : Multiobjective subset selection problems widely exist in many real‐world applications. Multiobjective ant colony optimisation (MOACO) is a strong and kind instrument for settling those issues. However, it still has two shortages which the authors must resolve. One, its solution construction process is inconsistent with the disorder characteristics of solutions, which prevent it from getting better solutions. Two, conventional MOACOs which most deal with biobjective optimisation problems are difficult to figure out high‐dimensional objectives optimisation problems. In this study, the authors propose a new MOACO to resolve those two disadvantages. They give its detailed descriptions and an exhaust experiment. And the results on C measure, spacing measure and inverted generational distance (IGD) show that the proposed algorithm has a powerful convergence ability and gets a better balance between convergence and diversity compared with other state of art approaches.
- Is Part Of:
- Electronics letters. Volume 55:Issue 24(2019)
- Journal:
- Electronics letters
- Issue:
- Volume 55:Issue 24(2019)
- Issue Display:
- Volume 55, Issue 24 (2019)
- Year:
- 2019
- Volume:
- 55
- Issue:
- 24
- Issue Sort Value:
- 2019-0055-0024-0000
- Page Start:
- 1283
- Page End:
- 1286
- Publication Date:
- 2019-11-01
- Subjects:
- search problems -- ant colony optimisation -- convergence -- Pareto optimisation -- evolutionary computation -- set theory
MOACO -- multiobjective subset selection problems -- multiobjective ant colony optimisation -- solution construction process -- biobjective optimisation problems -- high‐dimensional objective optimisation problems -- C measure -- spacing measure -- IGD -- convergence ability
Electronics -- Periodicals
621.381 - Journal URLs:
- http://digital-library.theiet.org/content/journals/el ↗
http://estar.bl.uk/cgi-bin/sciserv.pl?collection=journals&journal=00135194 ↗
https://ietresearch.onlinelibrary.wiley.com/loi/1350911x ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/el.2019.1933 ↗
- Languages:
- English
- ISSNs:
- 0013-5194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3705.060000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17373.xml