DocumentCode
3231966
Title
Union-Intersection Ant System
Author
Wang, Jinbiao ; Wang, Kaichi
Author_Institution
Comput. Sci. & Technol. Coll., Civil Aviation Univ. of China, Tianjin, China
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
364
Lastpage
371
Abstract
Union-Intersection Ant System is an optimization algorithm with multi-nest of ants cooperating with each other, whose goal is to identify the edges belonging to the solution of TSP (denoted as TSP-edge-set). It identifies a part of elements in TSP-edge-set by the intersection of several hero ants´ tours (a hero ant is the one found the best tour in a nest) during an iteration and provides a collapsed solution space for future iterations by the union of these tours, thus a rapid solution to large-scale TSPs comes true. Experiments on the TSP instances with several thousands of cities from TSPLIB show that the convergence time of Union-Intersection Ant System has been significantly compressed compared to MMAS on the premise of the solution quality not worse than that of MMAS, thus the scale of the TSPs solved can reach up to 10000 cites or more. Union-Intersection Ant System is feasible.
Keywords
iterative methods; travelling salesman problems; iteration; optimization algorithm; travelling salesman problem-edge-set; union-intersection ant system; Artificial neural networks; Cities and towns; Wireless sensor networks; ACO; Ant System; TSP-edge-set; TSP-related degree; intersection; large scale; union;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645301
Filename
5645301
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