基于模糊文化算法的自适应优化

The Adaptive Optimization Based on the Fuzzy Cultural Algorithm

笔者提出一种基于模糊控制器的自适应文化优化算法,利用模糊控制器调整参数β,改变个体在进化中的个数,使文化算法得到了优化。在测试函数的仿真试验对比结果证明,改进算法优于原有算法。

Cultural Algorithm is a new evolutionary model. The algorithm is dual inheritance systems, in which besides the population component with traditional evolutionary computation methods there is an additional peer component belief space and a supporting communication mechanism between the two components. In this paper, an adaptive CA was proposed based on fuzzy controller. The new algorithm adjusts parameter using fuzzy controller and change the member of individuals in evolution process to optimize the CA. Simulation results illustrate that the adaptive CA based fuzzy controller is better than CA.