说明：  体，依照适者生存的规 则，通过若干代的进化最终得出条件最优的个体。 遗传算法不仅可用于无约束最优化问题的求解，，这组解称为一个群，种 群由一定数量、通过基因编码的个体组成，其中每 个个体称为染色体，不同个体通过还 可用于有约束最优化问题的求解。故采用 Matlab 工具的遗传算法，对有约束最优化问题进行求解。传算法的基本思想是从一个代表最优化问题 解的一组初始值进行搜索，这组解称为一个群，种 群由一定数量、通过基因编码的个体组成，其中每 个个体称为染色体，不同个体通过染色体的复制、 交叉或变异又生成新的个体，依照适者生存的规 则，通
(he basic idea of genetic algorithm is from a representative optimization problem A set of initial values of the solution to search for chromosomal replication, Crossover or mutation creates new individuals, according to the rules of survival of the fittest Then, after several generations of evolution, the individual with the best condition is finally obtained. Genetic algorithms can not only be used to solve unconstrained optimization problems, the group of solutions is called a group of species A swarm consists of a certain number of genetically coded individuals, of which each Individuals are called chromosomes, and different individuals pass through them It can be used to solve constrained optimization problems. Therefore, using Matlab)