Many simulation experiments indicate that GA can often generate satisfactory solution for middle or small-scale applications within permissive time.
但大量模拟实验表明，对于中小规模的应用问题，遗传一般能够在许可的时间范围内获得满意解。
This algorithm characterizes with global search ability, efficiency in search and avoiding premature phenomena which often occurs in traditional GA.
该算法具有很强的全局搜索能力，寻优效率高，有效克服了传统遗传算法的早熟收敛问题。
This algorithm characterizes with global search ability, efficiency in search and avoiding premature phenomena which often occurs in traditional GA.
该算法具有很强的全局搜索能力，寻优效率高，有效克服了传统遗传算法的早熟收敛问题。
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