遗传算法的现状及发展动向

遗传算法在许多优化问题中都有成功的应用，但其本身也存在一些不足．如何改善遗 传算法的搜索能力和提高算法的收敛速度，使其更好地解决实际问题，是各国学者一直探索 的主要课题之一．本文综述了遗传算法中编码表示、适应度函数、选择策略、控制参数和遗 传算子等方面的各种改进措施，并给出了遗传算法的发展动向．

ACTUALITY AND DEVELOPMENTAL TREND FOR GENETIC ALGORITHMS

Genetic algorithms have been successfully applied to a wide variety of problems.Although widely used,there are still some shortages.In order to effectively solve practical problems, the scholars all over the world have been exploring how to improve its searching performance and avoid the common defect of early convergence.This paper sumed up 6 kinds of relevant improved methods and 5 new developmental trends concerning genetic algorithms.