摘要
针对投影寻踪模型中投影指标函数的最优化计算复杂问题,采用加速遗传算法加快寻优速度,解决了投影寻踪过程中最优化问题。实例计算表明,该模型可处理复杂多指标优化问题,是解决复杂水质综合评价的有效途径。
Accelerating genetic algorithm can solve complex optimization problems quickly and projection pursuit model projects structural features of high-dimensional data to low-dimensional space which retrospects structural features of high-dimensional data by finding the best projection direction. Accelerating the optimization speed by accelerating genetic algorithm can solve the optimization problem in the process of projection pursuit. The actual calculation example shows that this model can solve complex multi-target optimization problem and is an effective way to solve complex water quality evaluation.
出处
《水电能源科学》
2008年第6期42-44,共3页
Water Resources and Power
关键词
投影寻踪
加速遗传算法
水质评价
projection pursuit
accelerating genetic algorithm
water quality evaluation
