遗传算法主要用于多目标约束问题中，非常简单(GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a potential set of solutions to a prob-lem, while a population consists of a finite number of indi-viduals (called phenotype) encoded by genes. Each individ-ual is actually an entity with a chromosome(called geno-type). Chromosome as a major carrier of genetic material, that is, a collection of multiple genes.)