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Title: An improved ant colony optimization algorithm and its application to electromagnetic devices designs
Authors: Ho, SL 
Yang, S
Wong, HCC
Cheng, KWE 
Ni, G
Issue Date: May-2005
Source: IEEE transactions on magnetics, May 2005, v. 41, no. 5, p. 1764-1767
Abstract: 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 (AGO) methods, an improved AGO 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.
Keywords: Ant colony optimization (ACO) method
Heuristic algorithm
Inverse problem
Optimal design
Electromagnetic field effects
Electronic equipment
Food products
Global optimization
Inverse problems
Living systems studies
Problem solving
Simulated annealing
Genetic algorithms
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on magnetics 
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2005.845998
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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