遗传算法的研究与应用

遗传算法(Genetic Algorithms,GA)是一种模拟自然选择和遗传机制的寻优程序,遗传算法本身固有的并行处理性和开放性,使得它在优化识别的效率非常之高,而且受到越来越广泛的研究。然而,遗传算法自身也有一些缺点。论文研究了遗传算法的起源,发展,原理及自身的缺点。以便对这种算法深入了解,灵活应用,以及做进一步的研究开发。

GA Research and Application

Genetic algorithm(Genetic Algorithms,GA) is a simulation of natural selection and genetic mechanism of the optimization process,genetic algorithms inherent parallel processing and open,making it the optimized to identify the efficiency is very high,and are increasingly Extensive research.However,genetic algorithm itself has some shortcomings.Papers on the origin of the genetic algorithm,development,principles and its own shortcomings.In order to in-depth understanding of the algorithm,flexible application,as well as further research and development.