Immune clone algorithm and mfcTP

Abstract

A new immune clone algorithm is proposed for coping with the multi-objective fixed-charged transportation optimization problem (mfcTP) in the paper. In terms of this new algorithm base on the vector affinity, we firstly make the sum of active and fixed-charged order by ascending and greedy algorithm infused into the antibody decoding, sequentially enhancing the intelligent learning ability of antibody; Then apply the cloning mechanism, balanced the relationship between the global exploration and the local development and enhanced the optimization ability of the algorithm. The experimental results show that the algorithm can find better Pareto front and Pareto optimal solutions in the real-world problems even if nonlinear and discontinuous. So it is more effective than st-GA and m-GA.