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求解约束优化问题的改进型免疫算法
引用本文:杨剑,张敏辉. 求解约束优化问题的改进型免疫算法[J]. 计算机应用研究, 2011, 28(11): 4129-4130. DOI: 10.3969/j.issn.1001-3695.2011.11.034
作者姓名:杨剑  张敏辉
作者单位:1. 电子科技大学成都学院,成都,611731
2. 四川教育学院,成都,611130
摘    要: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。

关 键 词:乘子法; 免疫优化算法; 约束优化问题

Novel immune algorithm for solving constrained optimization problems
YANG Jian,ZHANG Min-hui. Novel immune algorithm for solving constrained optimization problems[J]. Application Research of Computers, 2011, 28(11): 4129-4130. DOI: 10.3969/j.issn.1001-3695.2011.11.034
Authors:YANG Jian  ZHANG Min-hui
Affiliation:(1. Chengdu College, University of Electronic Science & Technology of China, Chengdu 611731, China; 2. Sichuan College of Education, Chengdu 611130, China)
Abstract: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.
Keywords:multiplier method  immune optimization algorithm  constrained optimization problems  
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