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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.842