Solving Task Assignment Problem by Master-slave Immune Clone Selection Algorithm

Based on the clonal selection mechanism of biological immune system,a kind of master-slave immune clone selection algorithm(MSICSA) is introduced to deal with task assignment problem(TAP).The algorithm adopts multi-population strategy.Through the immigration and emigration operation,information among populations is updated and the diversity of population is maintained.Experimental results show that the proposed MSICSA can effectively overcome the shortcomings of the basic immune clonal selection algorithm in solving large-scale optimization problems,has excellent convergence and stability,and can solve the TAP problem effectively.