实数编码遗传算法的评述

On Overview of Real - Coded Genetic Algorithm

遗传算法是一种基于自然选择和遗传变异等生物进化机制的全局优化搜索算法.使用实数表示基因的实数编码遗传算法常用于求解连续函数优化等问题.本文阐述了实数编码遗传算法研究的有关工作进展, 讨论了算法框架及特点,对实数编码遗传算法中常用的选择、交叉和变异算子进行了比较全面的形式化描述, 并介绍了其未来研究方向.

Genetic algorithm is a global optimization search method which is based on biological evolutionary mechanism such as natural selection, heredity and mutation. Real - Coded Genetic Algorithm which denotes gene with real number is often used to solve continuous function optimization problem.This paper expatiates on the progresses in real - coded genetic algorithm research field, discusses algorithm skeleton and characteristic, formally depicts selection, crossover and mutation operators which are often used in real - coded genetic algorithm,and introduces some future research work.