Differential immune clonal selection algorithm

Maoguo Gong, Lining Zhang, L. Jiao, Wenping Ma
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引用次数: 16

Abstract

Based on the antibody clonal selection theory of immunology and differential evolution paradigm, we put forward a novel artificial immune system algorithm, differential immune clonal selection algorithm, termed as DICSA. The DICSA evolves and improves the population by clonal proliferation operator, differential mutation operator, differential crossover operator and (mu+lambda)-selection operator. In experiments, six composition functions are used to validate the performance of the DICSA. The results confirm its potential to solve the global optimization problems.
差分免疫克隆选择算法
基于免疫学抗体克隆选择理论和差异进化范式,提出了一种新的人工免疫系统算法——差异免疫克隆选择算法(differential immune clonal selection algorithm, DICSA)。DICSA通过克隆增殖算子、微分突变算子、微分交叉算子和(mu+lambda)选择算子对种群进行进化和完善。在实验中,使用了六个组合函数来验证DICSA的性能。结果证实了其解决全局优化问题的潜力。
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