查询词典 integer linear optimization

The content of this course includes cost benefit analysis method, the basis of optimization theory, one dimension optimization,nonrestraint multi-dimension optimization theory, linear programming, nonlinear programming, dynamic programming, Monte Carlo Method.

课程内容包括工程系统决策分析内容和步骤，费用—效益分析方法及其应用，最优化方法基础，一维搜索方法，无约束的多维搜索方法，非线性规划算法及其应用，线性规划算法及其应用，动态规划及其应用，蒙特卡洛方法及其应用等。

The main research content is: Using the experimental of cutting force and roughness of high speed face milling cutter and high speed end milling cutter mill aluminium alloy and cast iron, analyze the rules of the high speed milling velocity, feed rate per tooth, milling depth and milling width to high speed processing. Use multiple linear regression method, set up surface roughness and the cutting force fluctuation models. Certify the regression model notability, and provide a reliable guarantee for the accuracy of function optimization. Based on the targets of productivity, manufacturing cost, surface roughness, cutting force fluctuation optimization model, according to research of the high speed milling parameters selecting restrict of work piece, machine, tool and safety, set up high speed milling parameters multi-object optimization system.

本文以已有的高速铣削机理及高速刀具技术研究成果为基础，结合高速铣削试验，进行了基于遗传算法的高速铣削参数优化研究与系统开发，主要的研究内容为：通过高速面铣刀和高速立铣刀加工铝合金和铸铁等材料的切削力和表面粗糙度试验，进行了铣削速度、每齿进给量、铣削深度和铣削宽度对高速铣削加工过程影响的研究；采用多元线形回归的方法，建立了切削力及其振幅和表面粗糙度模型，并对模型的显著性进行验证，为高速铣削参数优化模型的建立奠定了基础。

This thesis studies a widely used first order optimzation algorithm--Sequential Linear Programming method, SLP is modify so that it can solve structural and shape optimization problems more efficiently, including continuous and dsicrete variables problems. Finally the zeroth order optimization method is presented for two dimensional shape optimization problems.

本研究将从一般广为设计者所采用的一次最佳化方法--线性序列规划法的修正研究，以使其更稳定且更有效率地解决在一般结构与形态最佳化问题，包含有连续式及非连续式设计变数的最佳化问题演算过程，最后应用零次最佳化方法概念在二维形态最佳化设计上。

Moreover, if the optimization problem has certain special feature, the simpler relaxation methods can be provided. For example, considering a generalized geometric programming problem, relevant relaxation linear programming can be obtained using its special structure. Based on the branch and bound method, a linear relaxation algorithm of global optimization is presented for generalized geometric programming, and the convergence of the algorithm is also proven.

此外，当优化问题具有某种特殊性质时，我们能给出更加简便的松弛化方法，如考虑广义几何规划问题，能充分利用其特殊结构，建立了广义几何规划问题的松弛线性规划问题；在分枝定界技术的基础上，提出了一个求广义几何规划全局解的线性松弛算法；证明了算法的收敛性。

In chapter 2 we propose a linear equality constraint optimization question , the new algorithm is combined with the new conjugate gradient method(HS-DY conjugate gradient method)and Rosen"s gradient projection method , and has proven it"s convergence under the Wolfe line search.In chapter 3 we have combined a descent algorithm of constraint question with Rosen"s gradient projection, and proposed a linear equality constraint optimization question"s new algorithm, and proposed a combining algorithm about this algorithm, then we have proven their convergence under the Wolfe line search, and has performed the numerical experimentation.

在第三章中我们将无约束问题的一类下降算法与Rosen投影梯度法相结合，将其推广到线性等式约束最优化问题，提出了线性等式约束最优化问题的一类投影下降算法，并提出了基于这类算法的混合算法，在Wolfe线搜索下证明了这两类算法的收敛性，并通过数值试验验证了算法的有效性。

An optimization method is proposed to solved steady-state optimization problems by quadratic approximation of the object function and the Linear Matrix Inequalities Problem and Eigenvalue Problem of Linear Matrix Inequalities theory.

提出了将稳态优化问题的目标函数进行二次逼近及用可行性问题求解算法和特征值问题求解算法进行求解的优化方法。

After that, based on the CVaR optimization model with transaction costs, we simulate smoothly the piecewise linear function in objective function separately, and obtain the continuous smooth CVaR optimization model. As an application, we explain via an example when the smooth simulation model is applied in the big scale investment portfolio choice problems, its convergence and stability has the enhancement comparing with the above linear model.

其次，在带交易费用的CVaR最优化模型的基础上，将模型目标函数进行了平滑模拟，得到连续平滑的CVaR最优化模型，并经过实例说明，对于较大规模投资组合选择问题，经过平滑模拟后的模型其解的收敛性和稳定性较之原模型的解都得到了提高。

In this algorithm, at first the reactive power optimization problem is converted to integer nonlinear programming problem with discrete control variables which are solved by IGA; then by use of PDIP algorithm, the continuous variables which can match with the obtained most are solved, and the reactive power optimization is changed into a nonlinear programming problem with continuous control variables.

首先通过改进遗传算法求解无功优化问题中的离散变量，然后采用原对偶内点法求解与已获得离散变量最匹配的连续变量。

An integer coded hybrid particle swarm optimization algorithm which incorporates the crossover and mutation operators of Genetic Algorithm with basic particle swarm optimization is proposed to solve the model, and a C ++ code is programmed.

同时提出基本粒子群优化算法与遗传算法交叉、变异算子相结合的整数编码的混合粒子群优化算法来求解该选址模型，并编制了相应的C++程序。

To solve a heavily constrained optimization problem includes linear constraint conditions and non-linear constraint conditions, in this paper, a new comprehensive solution mechanism, based on specialized genetic operators, exact penalty function and initialization with multiple linear feasible solutions, is proposed.

针对一类同时具有线性约束条件和非线性约束条件的重约束优化问题，本文成功地综合采用了专门化遗传算子、精确惩罚函数及多个线性可行解初始化的求解方法，取得了很好的效果。

Fostering the concept of multi-culture firmly and mastering the development of advanced culture correctly are conductive to resisting terrorism, separatism of nationalities and ultraism of religion, which is of great academic theoretical, immediate and profound historical si...

牢固树立多元文化的理念和正确把握先进文化的发展方向，有助于在世界范围内自觉地抵制恐怖主义，民族分裂主义和宗教极端主义。不仅具有重大的学术理论意义，而且也具有重大的现实意义和深远的历史意义。

But if anyone walks in the night, he stumbles, because the light is not in him.

11：10 若在黑夜行走，就必碰跌，因为那光不在他里面。