Improved Ant Colony algorithm to Solve Traveling Agent Problem
A colony algorithm is a new kind of simulated evolutionary algorithm, which is widely applied to optimization problems, but it has the limitation like other evolutionary algorithms. To avoid the limitation, an improved ant colony optimization algorithm is introduced to solve the traveling agent problem, which is responsible for planning out an optimal migration strategy when agents migrate to several hosts for accomplishing its task. The results show that the algorithm is effective.
ant colony algorithm mobile agent optimization problems
Li Lan
College of Computer and Information Engineering Harbin University of Commerce Harbin, China
国际会议
太原
英文
574-577
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）