DocumentCode :
3076619
Title :
Realization of Parallel Ant Colony Algorithm Based on TBB Multi-core Platform
Author :
Li, Ni ; Gao, Dongdong ; Gong, Guanghong ; Chen, Zheng
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Astronaut. & Aeronaut., Beijing, China
Volume :
1
fYear :
2010
fDate :
16-18 July 2010
Firstpage :
177
Lastpage :
180
Abstract :
TBB (Thread Building Blocking) is currently a representative parallel computing platform of multi-core processors. The ant colony algorithm is used to solve combinatorial optimization problem of discrete-time systems. With the expansion of the problem scale, it often results in rapid increase of calculation. Based on TBB a parallel ant colony algorithm was researched and developed to improve the efficiency of the algorithm. TBB parallel multi-core technology and implementation techniques of the parallel ant colony algorithm based on TBB are introduced in detail. This algorithm was applied to resolve large-scale TSP (traveling salesman problem). Experiment results showed that the parallel optimization progress is flexible to operate and multi-core resources can be made full use of to greatly improve algorithm efficiency. And it provided possibility for real-time calculation of large-scale combinatorial optimization engineering problems.
Keywords :
discrete time systems; optimisation; parallel algorithms; travelling salesman problems; TBB multicore platform; combinatorial optimization problem; discrete time system; implementation technique; large scale TSP; multicore processor; parallel ant colony algorithm; parallel computing; parallel optimization; thread building blocking; traveling salesman problem; Algorithm design and analysis; Cities and towns; Instruction sets; Optimization; Parallel algorithms; Resource management; ant colony algorithm; multi-core parallel computing; thread building blocking; traveling salesman problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
Type :
conf
DOI :
10.1109/IFITA.2010.143
Filename :
5635135
Link To Document :
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