Title :
The research of task assignment based on Ant Colony Algorithm
Author :
Wang, Ziniu ; Li, Song ; Wang, Yan ; Li, Shaobo
Author_Institution :
Center of Informationization Manage., Guizhou Univ., Guiyang, China
Abstract :
Ant Colony Algorithm newly appears as a heuristic algorithm, which has received much attention recently. It is applied to the assignment problem and an improved algorithm is presented to raise the search ability for the global optimization. The assignment problem based on the Ant Colony Algorithm is briefly introduced, and then the mathematical description and the procedure of the Ant Colony Algorithm problem are given. Base on that, the real case is given to demonstrate the superiority of the Ant Colony Algorithm.
Keywords :
human resource management; optimisation; scheduling; search problems; ant colony algorithm; global optimization; heuristic algorithm; human resources scheduling; search ability; task assignment; Ant colony optimization; Automation; Conference management; Contracts; Educational institutions; Feedback; Heuristic algorithms; Humans; Mechatronics; Scheduling; Ant Colony Algorithm; Improved Ant Colony Algorithm; Positive Feedback Problem; Self-adaptive Perturbation Mechanism;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246570
