求解约束优化问题的改进型免疫算法

Novel immune algorithm for solving constrained optimization problems

为了提高免疫算法求解约束优化问题的性能,给出了一种融合乘子法的免疫算法。设计了乘子法对约束条件的转换过程,给出了基于实数编码的克隆变异算子、浓度抑制算子和免疫算法框架,并对标准测试函数进行了实验验证。实验结果表明,该算法优于文献算法,具有较好的应用价值。

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.