Title :
Study on ant colony optimization for people assign to job problem
Author :
Wang, Suxin ; Wang, Leizhen ; Li, Yongqing ; Sun, Jianyong
Author_Institution :
Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
Abstract :
To deal with people assign to job optimization problem in getting into local minima, people assign to job problem (PATJP) model and ant colony optimization (ACO) are developed for people assign to job optimization problem. In PATJP model, one people can assign to more than one job, and one job can be done by more than one people. People assign to job optimization is searched by ACO, optimization processes tend to get the global solution. Illustration results show that PATJP model and ACO algorithm are effective and offer a way to PATJP.
Keywords :
ant colony optimisation; ACO algorithm; PATJP model; ant colony optimization; global solution; job optimization problem; local minima; people assign to job problem model; Algorithm design and analysis; Ant colony optimization; Cybernetics; Educational institutions; Electronic mail; Learning automata; Optimization; Ant Colony Optimization (ACO); Assignment Problem (AP); People Assign to Job Problem (PATJP);
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244135