摘要
系统地阐述了基于细胞克隆选择学说的克隆算子,将其应用于进化策略,并利用柯西变异替代传统进化策略中的高斯变异,提出了改进的进化策略算法———基于柯西变异的免疫单克隆策略算法,并利用Markov链的有关性质,证明了该算法的收敛性.理论分析和仿真实验表明,与传统的进化策略算法以及免疫克隆算法相比,基于柯西变异的免疫单克隆策略算法不仅有效克服了早熟问题、保持了解的多样性,而且收敛速度比前两者都快.
Based on the clonal selection theory, the main mechanisms of clone are analyzed. An improved evolutionary strategy algorithm - Immune Monoclonal Strategy algorithm based on the Cauthy Mutation (IMCSCM) is presented, in which the Gauss mutation in the Classical Evolutionary Strategies algorithm (CES) is replaced by the Cauthy one. Compared with CES and the Immune Monoclonal Strategy algorithm applying the Gauss Mutation (IMCSCM), IMCSCM is shown to be an evolutionary strategy capable of avoiding prematurity, increasing the converging speed and keeping the variety of solution in the simulations. Using the theories of Markov Chain, its convergence is proved.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2004年第4期551-556,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(60133010)
