The good result demonstrates that the algorithm on solving the function optimization problem is a kind of feasible and good new method.
得到了较好结果，表明此算法在求解函数优化问题上是一种可行的，优越的新方法。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
Functional test result shows that this algorithm has higher convergence property, and it is suitable for solving complex function optimization problem.
函数测试结果表明，该算法具有较好的收敛性能，适用于求解复杂函数优化问题。
Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.
针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。
In testing the effectiveness of the proposed method, the quantum algorithm for combinatorial optimization both for function optimization problem or a traveling salesman, had achieved good results.
在对所提算法有效性的测试中，量子组合优化算法无论对函数优化还是旅行商问题，都取得了较好的效果。
Study of Satety Economy can benefit from this method and put Safety Analysis to coal mine, and then settle the problem of the optimization of maximizing Safety Function against minimizing Safety Cost.
安全经济研究可以很好地运用这一方法对煤矿企业进行安全分析，从而解决安全功能最大化和成本最小化之间的优化问题。
Optimal placement of switch device is a combinatorial optimization problem with reliability cost objective function.
分段开关优化配置是一种以可靠性费用最小为目标函数的组合优化问题。
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.
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。
First, curved surface is considered as the search field and the length of route as the objective function, thus the optimization problem of route is set.
首先，将整个曲面作为搜索空间，路径长度作为目标函数，设定了路径优化问题。
The function optimization and knapsack problem show the effectiveness of PEA.
函数优化和背包问题实验验证了PEA的有效性。
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。
Such a problem can often be fixed by removing one or more optimization options when compiling the particular function containing the line indicated in the error message.
这样的问题往往是固定的移除一个或更多的优化选择当编写特定功能，包含了生产线上的错误信息。
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.
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。
Meanwhile, KS function is suitable for dealing with the optimization of Min-Max problem.
同时指出，KS函数很适合求解最小-最大类型的优化问题。
In this paper, a new auxiliary function with one parameter on box constrained for escaping the current local minimizer of global optimization problem is proposed.
本文首先对箱子约束全局最优化问题提出了一个新的辅助函数，该函数能跳出当前的局部极小点。
Function optimization experiments show that which operator works better in an algorithm depends on both the combination capability of the operator and the problem to be optimized.
函数优化实验研究表明，在算法中采用何种离散重组算子较为合适与算子的组合能力有关，也与优化问题有关。
The problem of maximizing a submodular set function with multiple constraints is considered, which has important application in combinatorial optimization theory.
提出了多维约束下下模函数最大值问题，分析其在组合优化中的重要应用。
By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.
通过对各目标实现程度的隶属函数进行定义，将多目标优化问题转变成模糊规划问题进行求解。
At the mean time, the penalty function was improved by transmuting the inequality constrained optimization problem into single target optimization one.
同时为了将不等式约束优化问题转化为单目标优化问题，对惩罚函数法进行了改进。
Because the optimization problem may be discontinuous and non-differentiable even has no objective function, the traditional optimization methods are unable to tackle with it.
由于优化问题可能是不连续的、不可微的甚或是没有函数解析式的，传统经典的无约束优化方法在应用时会受到限制。
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。
By introducing nonlinear complementarity problem function, the original optimization problem is transferred equivalently to a set of nonlinear equations and solved by semi-smooth Newton method.
针对这一优化问题，通过引入非线性互补问题函数，将原优化问题转化为非线性方程组，并采用半光滑牛顿法进行求解。
Transforming the feature points matching problem into the optimization problem, the network can complete the function of the object recognition.
通过将特征点匹配问题转化为优化问题，该网络可以实现对目标识别问题的求解。
The optimization of systems, from the point of energy efficiency view, is to find the minimum energy consumption in operation by means of solving the problem of function optimization.
而从节能的角度进行系统的优化，则是通过解决函数寻优问题，使运行能耗为最小。
The optimization of systems, from the point of energy efficiency view, is to find the minimum energy consumption in operation by means of solving the problem of function optimization.
而从节能的角度进行系统的优化，则是通过解决函数寻优问题，使运行能耗为最小。
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