Research of immune network clone optimization algorithm

Immune clone selection algorithm is a kind of optimization algorithm based on the theory of clone selection. It cannot keep diversity at the end of antibody evolutionary because many antibodies with similar affinity appear. So it leads the algorithm to premature. In order to improve its performance, we use the mechanisms of immune network and crossover operators in genetic algorithm to design immune network clone optimization algorithm(INCOA), which adopts different clone strategies in different processes. The test results show the efficiency of the proposed algorithm in solving optimization problem.