【摘要】 利用混沌运动的遍历性、随机性、“规律性”等特点，本文提出了一种混沌优化方法（chaosoptimizationalgorithm，简称COA）。用混沌优化方法对一类连续复杂对象的优化问题进行优化，其效率比一些目前广泛应用的随机优化方法如SAA，CA等要高得多，而且使用方便．更多还原

【Abstract】 By the use of the properties of ergodicity, stochastic property, and"regularity" of chaos, a chaos optimization algorithms is proposed (COA). The efficiency of COA is much higher than some stochastic algorithms such asSAA and CA when COA is used to a kind of continuous problems. The chaos optimization method is very simple andconvenient to use.更多还原