Title :
Parallel ant colony optimizers with local and global ants
Author :
Koshimizu, Hiroshi ; Saito, Toshimichi
Author_Institution :
Dept. of Electr. & Electron. Eng., Hosei Univ., Tokyo, Japan
Abstract :
This paper studies the ant colony optimizer with parallel processing function based on adaptive resonance theory map. The optimizer has two groups of ants: local ants that is assigned to search in a subspace and global ants for global search. Effective communication between local and global ants is key to realize desired optimization. Applying the algorithm to typical bench marks, we can suggest that the optimizer can realize adaptive and fast search of solutions.
Keywords :
adaptive resonance theory; evolutionary computation; parallel algorithms; search problems; adaptive resonance theory map; evolutionary optimization; global ants; global search; local ants; parallel algorithm; parallel ant colony optimizer; parallel processing function; Ant colony optimization; Cities and towns; Communication effectiveness; Control systems; Neural networks; Optimal control; Parallel processing; Resonance; Subspace constraints; USA Councils;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178968
