说明：  遗传算法 (GA) 是一种方法，基于模仿生物进化的自然选择过程求解无约束和有约束非线性优化问题。该算法反复修改由个体解构成的群体。在每个步骤，遗传算法从当前的群体随机选择个体，并将它们用作父级来生成下一代子级。经过一代又一代后，该群体“演化”为最优解。
(Genetic algorithm (GA) is a method for solving unconstrained and constrained nonlinear optimization problems based on natural selection process that mimics biological evolution. The algorithm iteratively modifies the group composed of individual solutions. At each step, the genetic algorithm randomly selects individuals from the current population and uses them as parents to generate the next generation of children. After generation after generation, the group "evolution" is the best solution.)