Referenced Items are not available for this document.
Based on the success in the design of a new global search procedure on the development of a novel trail updating mechanism and the introduction of an elitist strategy to available ant colony optimization (ACO) methods, an improved ACO algorithm is proposed. In order to facilitate the implementation of the search procedure, the available local search phase is simplified also. The algorithm is tested on a mathematical function and an inverse problem, and its performances are compared with those of other well designed methods.
Published in:
Magnetics, IEEE Transactions on
(Volume:41
,
Issue:
5
)
Date of Publication: May 2005
- Page(s):
- 1764 - 1767
- ISSN :
- 0018-9464
- INSPEC Accession Number:
- 8430799
- Digital Object Identifier :
- 10.1109/TMAG.2005.845998
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 16 May 2005
- Issue Date :
- May 2005
- Sponsored by :
- IEEE Magnetics Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
