Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Since they often contain multiple objectives with conflict as well as uncertain objective functions and constraints, it is difficult for traditional optimization algorithms to solve them.
由于该类问题不仅包含了相互冲突的多个目标函数，而且目标函数或者约束又具有不确定性，因而使得传统优化方法难以适用。
The results of the optimization indicate that this method can overcome the default of the local optimization of traditional optimization algorithms; it is easy to convergent and has high precision.
优化结果表明，此方法能够克服传统优化算法极易陷入局部最优的缺点，而且收敛速度快，计算精度高。
It is necessary to optimize the designed structures for reducing control energy, however, traditional optimization algorithms are not satisfied for vibration active control system.
为减少控制系统所需能量，有必要对结构进行优化设计，而传统的优化方法对于振动主动控制系统的优化不太适合。
It is necessary to optimize the designed structures for reducing control energy, however, traditional optimization algorithms are not satisfied for vibration active control system.
为减少控制系统所需能量，有必要对结构进行优化设计，而传统的优化方法对于振动主动控制系统的优化不太适合。
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