Title :
Ant colony optimization with the characteristic of social work division
Author :
Li Xinxin ; Luo Yi ; Zhang Juntao
Author_Institution :
Dept. of control Sci. & Eng., North China Electr. Power Univ., Beijing
Abstract :
In order to solve the continuous space optimization problems, an ant colony optimization with the characteristic of social work division is presented. The decimal coding rule of the variables in continuous space is explained. The paper presents six behaviors of artificial ant, the function of the promotion team ant colony and the three-dimensional coordinate pheromone system. Computer simulation results indicate that the proposed algorithm has the capability of escaping from the local optimal solution, and obtains the global optimal solution rapidly.
Keywords :
optimisation; social sciences computing; ant colony optimization; artificial ants; computer simulation; continuous space optimization problems; social work division; Ant colony optimization; Cities and towns; Computer simulation; Control systems; Electric variables control; Power engineering and energy; Space exploration; Social work division; ant colony optimization; city matrix; continuous space optimization; three-dimensional coordinate pheromone system;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4598101
