Artificial immune antibody adjusting clonal algorithm for the 0-1 knapsack problem
求解0-1背包问题的人工免疫抗体修正克隆算法

Based on the clonal selection theory,the antibody-adjusting-clone operator is analyzed.A new artificial immune system algorithm,Artificial Immune Antibody Adjusting Clonal Algorithm (AIAACA),is put forward.Based on Markov chain theorem,the general artificial immune system algorithm is proved to be convergent.Compared with the Evolutionary Algorithm (EA),AIAACA is shown to be an evolutionary strategy to solve the combinatorial optimization problem,like 0-1 knapsack problem.