基于混沌变量，提出一种变尺度混沌优化方法。
A mutative scale chaos optimization method is proposed based on the chaos variables.
该方法具有逐次优化算法的隐性并行性和收敛性，禁忌搜索的智能性和变尺度混沌优化方法的快速性。
The algorithm has not only the implicit parallelism, global convergence of POA and the intelligence of tabu search, but also the fast convergence of MSCOA.
变尺度混沌优化（MSCOA）是一种改进的混沌优化方法（COA），利用混沌运动的内在随机性、遍历性和规律性进行全局寻优；
Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement.
变尺度混沌优化（MSCOA）是一种改进的混沌优化方法（COA），利用混沌运动的内在随机性、遍历性和规律性进行全局寻优；
Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement.
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