DocumentCode
1946740
Title
Multiple Nests´ Cooperation ACO Based Union-Intersection Operations
Author
Wang, Jin Biao ; Wang, Wei
Author_Institution
Comput. Sci. & Technol. Coll., Civil Aviation Univ. of China, Tian Jin
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
361
Lastpage
366
Abstract
On the base of researches on Max-Min Ant System (MMAS), a new algorithm named multiple nestspsila cooperation ACO based Union-Intersection operations (UI-MNCACO) is proposed to resolve the narrow Traveling Salesman Problem (TSP). In UI-MNCACO, we find out the edges contained in the shortest Hamiltonian circuit by the cooperation of elitist ants, the cooperation is completed by the union and intersection operations. Our experimental results clearly show that UI-MNCACO has a faster convergence than MMAS and its solution quality is better.
Keywords
minimax techniques; travelling salesman problems; max-min ant system; multiple nests cooperation; traveling salesman problem; union-intersection operations; Boolean functions; Circuits; Computer science; Data structures; Educational institutions; Euclidean distance; NP-hard problem; Software algorithms; Software engineering; Traveling salesman problems; UI-MNCACO; elitist ants; intersection; narrowTSP; union;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.842
Filename
4721762
Link To Document