The GA uses a population of points at a time in contrast to the single point approach by the traditional ones, and will guarantee to find the global optimum.
与经典优化算法不同的特点在于，遗传算法是从多个初始点开始寻优，沿多路径搜索实现全局或准全局最优。
The GA uses a population of points at a time in contrast to the single point approach by the traditional ones, and will guarantee to find the global optimum.
与经典优化算法不同的特点在于，遗传算法是从多个初始点开始寻优，沿多路径搜索实现全局或准全局最优。
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