- 期刊
Simulation Using Fighter Ants Algorithm with an Application on Efficient Team Building
並列摘要
This paper compares the performance of two teams with the same average skill but different diversities. It constructs the Fighter Ants Algorithm to mimic the fighting between two groups of ants, the black and red ants. The battle matches individual ants from both sides, compares their strengths and makes only the stronger survives. The winning side is determined by the last-man-standing rule. There are five major results. First, the group with more diversity naturally wins. Second, skill upgrades of the loser side turn the side to be the winner even after a slight improvement of the strength. Third, the addition of some experts with the strongest strength will be able to help the side to be the winner. Fourth, skill improvement of the whole team benefits the organization more than hiring experts. The results will guide an organization to choose a suitable strategy to recruit and develop its human resource in order to improve the competitive performance of the organization.