Novel immune algorithm for solving constrained optimization problems
求解约束优化问题的改进型免疫算法

To improve the performance of immune algorithm for solving constrained optimization problems, this paper proposed a novel immune algorithm based on multiplier method. It expounded the process that multiplier method transformed constraint condition, designed cloning mutation operator and repressing_density operator with real-number encoding, gave the frame of immune algorithm, and done simulation experiments on benchmark test functions to validate algorithm. The results of experiment show the proposed algorithm is better than existing algorithms, and has good application value.