2、而言，遗传算法是一种具有内在并行性，能有效解决计算量大的问题。关键词：遗传算法，最优化方法，遗传算法的应用The Development And Application ofGenetic Algorithms(School of Control Science and Engineering, Shandong University , Jinan, ) Abstract: Genetic Algorithms (GA) is put forward by the American scholars J.H.Holland, it is based on the Darwin's th
3、eory of evolution and Mendel's biological Genetic theory on the basis of the algorithm. Gene and gene mutations may produce hybrid of environment adaptable offspring of the survival of the fittest, through natural selection, adapt to the genetic structure of high value is preserved. It is a natur
4、al evolution process of the simulation calculation model. It was solved DuoGe feasible solution from the start, and then through the certain principles of the iteration to produce new, get the optimal results until. Just parenchyma, genetic algorithm is a has intrinsic parallelism, can effectivel
5、y solve the problem of large amount of calculation. Key words: Genetic Algorithms, optimization method, the development of Genetic Algorithms 遗传算法的生物学基础生物在其延续生存的过程中，逐渐适应于其生存环境，使得其品质不断得到改良，这种生命现象称为进化（Evolution）生物进化是以集团形式进行的，这样的一个团体称为群体（Population），组成群体的单个生物称为个体（Individual），每个个体对其生存环境都有不同的适应能力，这种适
