In this paper, the elementary theory and methods of multiobjective optimization and genetic algorithm is introduced. 本文介绍了多目标优化和遗传算法(GA)的原理和方法,并对遗传算法(GA)进行了改进。
Then, a solution process for the model was given based on an improved genetic algorithm. 最后给出了基于改进遗传算法(GA)的模型求解方法和步骤。
The improved OTSU algorithm and genetic algorithm are applied to fingerprint image segmentation. 本文对传统OTSU算法进行改进,和遗传算法(GA)一起应用于指纹图像分割中。
At last, an optimization method based on genetic algorithm is presented. 给出了调度优化问题的描述和基于遗传算法(GA)的解算方法。
Afterwards it proposes the optimization methods and steps of highway geometry alignment design based on Genetic Algorithm(GA). 然后建立了运用遗传算法(GA)对公路几何线形进行优化的方法和步骤。