| 1. | Solution will convergent to optimal point of feasibility through penalty of solution outside feasible region again and again
通过对可行域外的解进行惩罚，经过不断迭代，使解群逐渐收敛于可行的最优点。 |
| 2. | To increase the intension coefficient , and speed up the significant evolutionary , the increases probability of arriving vector optimization is given
因此提出增加正负进化对的进化强度系数思想，以提高算法的运行速度，增加向最优点进化的概率。 |
| 3. | The basic idea is to find iterative points which converge to optimal point and its corresponding objective function or merit function values converge to optimal value
其基本思想是构造迭代点来逐步逼近最优点，相应的目标函数值或评价函数值逼近最优值。 |
| 4. | The parameter control methods are in the contrast , which is to find a sequence of parameters that converge to optimal value and its corresponding points in converge to optimal solution
参数控制算法的基本思想正好相反，它是构造参数序列来逼近最优值，相应的迭代点列逼近最优点。 |
| 5. | Chaotic optimization method searches optima by means of regularity , ergodicity and intrinsic stochastic properties of chaotic motion and can find out global optimum in great probability
摘要混沌优化方法利用混沌运动的随机性、规律性、遍历性寻优，能以较大的概率搜索到全局最优点。 |
| 6. | Martin ( ref . 36 ) proved the equivalence between some invexity and the case that every stationary point or kuhn - tucker point is a global minimum point for unconstrained or constrained scalar programming
Martin在文献[ 36 ]中，证明了无约束或约束单目标规划中某类不变凸性与每个驻点(或k - t点)即为全局最优点的等价性。 |
| 7. | Genetic algorithm is a kind of heuristic optimal computing method that simulate the evolution process of natural world , and possessing the characteristics of high efficiency and could convergence to the overall optimal point
摘要遗传算法是一种模拟自然界进化过程的启发式优化计算算法，具有高效及可收敛到全局最优点的特点。 |
| 8. | And in order to optimize space arrangement , a subjection function for the set of fuzzy objects and the set of fuzzy judgements is constructed and the optimal point is also formed adopting the maximal and minimal method
并通过构造模糊目标集和模糊判决集的隶属函数和采用最大最小法确定多目标最优点以实现对客船空间总布置的优化。 |
| 9. | Aim at the neural network get local optimum easily , the speed of convergence is slow , the quantity of training excessive and so on . this paper adopted the ga optimize the nn firstly , and then the nn algorithm
针对神经网络易出现局部最优点、收敛速度慢和训练量过大等问题,本文先利用遗传算法对神经网络进行优化后,再执行神经网络的算法步骤。 |
| 10. | A high precision chaotic optimization strategy was applied to parameter identification of power system static load model and the deficiency of traditional methods were effectively overcome which are easily being trapped in local optima
将一种高精度的混沌优化策略用于电力系统静态负荷模型参数辨识，克服了传统的基于梯度寻优的辨识方法容易陷入局部最优点的不足。 |
