针对无约束函数最优化问题，提出了一种能有效加快收敛速度的改进单纯形算法。
An improved simplex method (ISM) based on Nelder and Meads simplex method (N-M SM) is presented for unconstrained function optimization.
解决约束优化问题的关键是如何平衡来自目标函数最优化与满足约束条件这两方面的压力。
It is a key to how to balance the pressure from between the optimization of objective function and the satisfaction of constraints.
进化算法作为处理复杂函数最优化、多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective optimization problems, which are attached more and more importance to.
对于函数优化这个问题，根据目标函数定义域的性质，可以分为离散函数最优化和连续函数最优化。
For function optimization problems, according to the nature of the objective function domain, can be divided into discrete function optimization and continuous function optimization.
进化算法作为处理复杂函数最优化、全局最优化和多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithms are one of the effective algorithms for hard optimization, global optimization and multiobjective optimization problems, which are attached more and more importance to.
因此这个函数就是我想要最优化的函数。
在公共可行域内优化各个截面的转角，然后加权平均得到目标函数的最优值。
All cross section rotating Angle is optimized in the feasible zone, and the optimal value of target function is calculated.
多峰值函数优化结果表明，该算法可以有效地解决早熟收敛问题，更易达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm presented can solve premature convergence problem effectively and converge to the globally optimal solution.
结果表明当目标误差为0．01，径向基函数的分布常数为4时，网络达到最优化，总的正确识别率为96％。
When error goal is 0. 01 and speed constant of radial basis function is 4, the network achieves optimization, and the total correct rate is 96%.
在公共可行域内优化各个截面的转角，然后加权平均可得到目标函数的最优值。
Optimizes turning Angle of various sections in the public feasible zone, and then obtains the optimal value of target functions by evaluating weighted mean.
多峰值函数优化结果表明，该算法能更有效地达到全局最优解。
The optimization result of multi-peak value function shows that the algorithm introduced can converge to the globally optimal solution effectively.
当目标误差为0．01，径向基函数的分布常数为5时，网络达到最优化，总的正确识别率为98％。
When the error goal is 0. 01 and speed constant of radial basis function is 5, and the network achieves the optimization, and the total correct rate is 98%.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
利用感知器异或函数获得了节点之间不断优化的连接关系，然后得到最优路径图。
The continually optimized connecting relation is gained via perceptron and XOR function, then the optimal path graph is found.
为了使过程最优化，目标函数的公式是必不可少的。
In order to optimize the process, formulation of objective function is necessary.
以能量解耦指标为目标函数对汽车动力总成悬置系统进行优化是一个有许多局部最优解的优化问题。
Optimization for a proper engine mounting system taking the energy distribution target as an object function is an optimum topic that has many local optimization methods.
建立了驾驶员最优控制模型，提出了飞行控制系统优化设计目标函数和设计方法。
The pilot's optimal control model is investigated. The optimal design destination function and method of flight controlling system have been proposed.
最后，对模型进行改进，提出双目标优化函数，得到在新规范下线光源的最优长度。
Finally, by improving the model and suggesting a two-objective optimization function, the optimal length is worked out under a new rule.
数学上通过能量度量最小化把这些问题转化成变量或函数的最优化问题。
The minimization of some energy measure translates some problems into an optimization problem depending on the unknown variables (which are function) in mathematics.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
并以调节器参数最优化设计为例，论述了目标函数构造、初值确定、动态系统仿真分析的过程。
Taking optimization design of adjustor as an example, the process of constructing object function, defining initial value and simulating dynamic system was discussed.
本文讨论一种非正则的评价函数和它的最优化的一种准则，给出在这种准则下构造按字典次序的最优二元树的一种算法。
The paper discusses a nonregular cost function and its optimum criterion, presenting an algorithm of constructing and optimal alphabetic binary tree under this criterion.
函数的凸性与广义凸性在数学规划以及最优化理论中起着非常重要的作用。
Convexity and generalized convexity of functions play an important role in mathematical programming and optimal theory.
最后，文章结合实际案例，分析了风险目标函数及最优化模型在实际应用中的有效性。
In the end, the paper elaborates the effectiveness of the risk goal function and the optimization model in the application research with a practical example.
在此基础上，得到了向量目标函数既是似凸又是拟凸的多目标最优化问题的G-恰当有效解集是连通的结论。
On the conditions that vector objective function is like-convex and quasi-convex, we obtain the connectedness of G-proper efficient solution set of the multiobjective optimization problem.
本文对无线传感器网络的节点配置问题的研究方法是一个对建立的目标价值函数的可变参数集进行优化，从中求得最优值的过程。
For the problem of WSN node deployment, this paper's researching approach is a process of optimizing the variable parameter set of object value function and then finding the optimal result.
在科学技术和工程实践等诸多领域，许多问题都可归结为某种函数的最优化这类数学模型。
In many fields of science and technology, industries and practice etc, there are a lot of problems can be converted into the kind of mathematical model of function optimization.
在科学技术和工程实践等诸多领域，许多问题都可归结为某种函数的最优化这类数学模型。
In many fields of science and technology, industries and practice etc, there are a lot of problems can be converted into the kind of mathematical model of function optimization.
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