基于免疫原理的多模态函数优化算法

Algorithm for Multimodal Function Optimization Based on Immune Mechanism

借鉴免疫原理,提出了一种新的多模态函数优化算法。通过构造克隆选择算子,利用抗体单性繁殖和优选进行函数快速局部优化;借助B细胞网络完成各种局部优化结果自组织记忆,有效地实现了全局最优解和局部最优解的快速搜索和保存,证明该算法具有较强的多模态函数优化能力。

Referring to immune mechanism, a new algorithm for multi-modal function optimization is presented. Through forming and applying clone and selection operator, high local optimization speed is acquired by cloning and selecting the better antibodies; B cell network is formed to perform the function of self organizing and memory of all the local optimization. The testing results of the typical multi-modal function optimization show the global and local optimization of multi-modal function can be obtained and maintained by this algorithm and that has excellent optimization performance.