人工生命算法(ALA)是一种新兴的演化算法，利用人工生命群体的突现聚类实现全局寻优。
ALA is a new type of evolutionary algorithm, using which could realize emergent colonization of the global optimization.
使用逆转算子求解TSP的演化算法具有很强全局搜索能力，在求解TSP问题中显示了巨大的优势。
The evolutionary algorithm using inver-over operator for the traveling salesman problem(TSP) has great ascendancy, because its ability in global searching for optimal individual is powerful.
该法先将实因式分解问题转化为数值优化问题，再用基于混合杂交与间歇变异的演化算法求解该优化问题。
The proposed method transfers the real factorization problem into a numeric optimization problem, which is solved by an evolutionary algorithm based on hybrid crossovers and intermittent mutation.
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