Until now there are many heuristic algorithms to solve function optimization problems.
目前已经有很多启发式算法用于解决函数优化问题。
Many practical engineering problems can be abstracted to corresponding function optimization problems.
许多实际工程问题可以抽象为相应的函数优化问题。
Special function optimization problems with separable variables were defined and the peculiarity was analyzed.
同时定义并分析了变量可分离函数优化问题。
Solving multi -modal function optimization problems with constraints has an important practical meaning in scientific re-searches and engineering applications.
求解带约束的多峰函数优化问题在科学研究和工程应用中具有重要的现实意义。
For function optimization problems, according to the nature of the objective function domain, can be divided into discrete function optimization and continuous function optimization.
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。
The simulative experimental results show that it has obvious improvement in multimodal function optimization problems with the case of the average run time reduced to 56% of the former.
仿真实验的结果也表明该算法在平均运行时间减少了56%的情况下多峰函数的优化效果得到了显著改善。
The convergence property and dynamic characteristics of the newly proposed population migration algorithm for solving global function optimization problems are analyzed by means of probability.
用概率论分析了新提出的求解函数全局优化问题的人口迁移算法的收敛性及动态特性。
The minimization of some energy measure translates some problems into an optimization problem depending on the unknown variables (which are function) in mathematics.
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。
In this paper, a filled function method for solving global optimization problems with inequality and equality constraints is proposed.
提出了一种解决含有等式约束及不等式约束的全局优化问题的填充函数方法。
Then, we consider a new filled function method with parameter free for solving general global optimization problems.
然后，对于一般结构的全局优化问题，我们给出了一个新的无参数的填充函数方法。
Minimax problem is a sort of non-differentiable optimization problem and the entropy function method provides a efficient approach to solve such kind of problems.
极大极小问题是一类不可微优化问题，熵函数法是求解这类问题的一种有效算法。
A new algorithm based on neural network models is also presented, in which the neural networks are employed to express the membership function of fuzzy sets and solve the optimization problems.
该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解，从而将模糊优化同神经网络有机地结合起来。
The new temperature updating function derived is inversely proportional to a power function of the annealing time and is independent of the dimension of the optimization problems.
新的温度更新函数与退火时间的幂函数成反比，与优化问题的变量维数无关。
A new filled function with one parameter is used to find a global minimizer for unconstrained global optimization problems.
考虑用单参数填充函数求解无约束全局优化问题。
It was discussed that the consistent invexity of K S function which is the key function used by maxinum entropy method in optimization problems solution.
对求解最优化问题的极大熵方法中的关键函数——K- S函数的一致不变凸性作了讨论，得出“K-S函数是一致不变凸的，则一定是不变凸的”结论。
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。
When an evolutionary algorithm is applied to global optimization problems, it may be trapped around the local optima of the objective function and has a low convergence-rate.
一个进化算法应用到全局优化问题的，它可能会陷入周围的局部最优解的目标函数，并具有较低的收敛速度。
Particle swarm optimization is widely used to solve continuous function optimization issue, but its application in discrete combination optimization problems is still relatively few.
粒子群算法在求解连续函数优化问题中取得了广泛的应用，但是其在离散的组合优化问题中的运用还比较少。
During the course of optimization, the relations between the structure and function should be fully under-stood and the problems of the system stability, the elasticity…
在探讨最优化过程中，必须认识系统功能与组分功能的关系，探讨系统稳定性、组分可塑性、最佳林种选择及最佳数量配比等问题。
Hessian matrices are used in large-scale optimization problems within Newton-type methods because they are the coefficient of the quadratic term of a local Taylor expansion of a function.
海森矩阵被应用于牛顿法解决的大规模优化问题。混合偏导数和海森矩阵的对称性海森矩阵的混合偏导数是海森矩阵非主对角线上的元素。
A new type of fitness function suitable to bi \ | objective optimization problems is suggested.
提出了一种新的适用于双目标优化的适应函数的构造方法。
A new type of fitness function suitable to bi \ | objective optimization problems is suggested.
提出了一种新的适用于双目标优化的适应函数的构造方法。
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