NDLI: Applying Opposition-Based Ideas to the Ant Colony System

Content Provider	IEEE Xplore Digital Library
Author	Malisia, A.R. Tizhoosh, H.R.
Copyright Year	2007
Description	Author affiliation: Dept. of Syst. Design Eng., Waterloo Univ., Ont. (Malisia, A.R.; Tizhoosh, H.R.)
Abstract	This paper presents several extensions to an algorithm in the family of ant colony optimization, the ant colony system. The proposed extensions are based on the idea of opposition and attempt to increase the exploration efficiency of the solution space. The modifications focus on the solution construction phase of the ant colony system. Three of the proposed methods work by pairing the ants and synchronizing their path selection. The two other approaches modify the decisions of the ants by using an opposite-pheromone content. Results on the application of these algorithms on travelling salesman problem instances demonstrate that the concept of opposition is not easily applied to the ant algorithm. Only one of the pheromone-based methods showed performance improvements that were statistically significant. The quality of the solutions increased and more optimal solutions were found. The other extensions showed no clear improvement. Further work must be conducted to explore the successful pheromone-based approach, as well as to determine if opposition should be applied to a different phase of the algorithm
Starting Page	182
Ending Page	189
File Size	189570
Page Count	8
File Format	PDF
ISBN	1424407087
DOI	10.1109/SIS.2007.368044
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Design engineering Machine learning algorithms Machine learning Traveling salesman problems Routing Systems engineering and theory Particle swarm optimization State estimation Vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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