数据采集与处理2012，Vol.27Issue(3)：333-339,7.
基于标准差的自适应激素调节遗传算法
Adaptive Genetic Algorithm Based on Hormone Regulation
摘要
Abstract
An improved adaptive genetic algorithm is proposed based on the principle of hormone modulation in endocrine system. An adaptive crossover operator and an adaptive mutation operator based on the downward form of Hill function are designed in the algorithm. The crossover rate and mutation rate are made self-regulated according to the standard deviation of fitness value in each generation. And the diversity is maintained at a reasonable level in the whole process of evolution to ensure the normal evolution of genetic algorithm. Experimental results of four test functions and 3D brain image segmentation show the improved genetic algorithm can maintain the diversity of the population effectively, and overcome the premature problem. The performances of the algorithm are better than those of the other three adaptive genetic algorithms and the traditional genetic algorithm.关键词
遗传算法/人工内分泌系统/激素调节/三维图像分割Key words
genetic algorithm (GA)/ artificial endocrine system/ hormone modulation/ 3D image segmentation分类
信息技术与安全科学引用本文复制引用
刘奕晨,王毅,牛奕龙,樊养余,郝重阳..基于标准差的自适应激素调节遗传算法[J].数据采集与处理,2012,27(3):333-339,7.基金项目
国家自然科学基金(60903127)资助项目 （60903127）
西北工业大学翱翔之星计划资助项目. （）
