片语

Constrained Layout Optimization约束布局优化

constrained nonlinear optimization非线性约束优化

constrained perceptron optimization algorithm约束感知器优化学习算法

Constrained vector optimization problem约束向量优化问题

constrained multiobjective optimization约束多目标优化

constrained design optimization约束设计优化

constrained constructive optimization强制结构优化

constrained combinatorial optimization组合约束优化

constrained path optimization有约束路线优化

英汉例句

• the recommended algorithm is able to improve the performance of gas for complex constrained optimization problems.

  算法有效地改进了遗传算法求解复杂约束优化问题的性能。

• 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。

• layout optimization is an np-hard problem. it also belongs to complex nonlinear constrained optimization problem.

  布局优化是np难问题，也是复杂的非线性约束优化问题。

• the equations of nonlinearly constrained optimization are presented for the evaluation of the minimal circumscribed sphere.

  本文把最小外接球的评定问题表述为非线性约束最优化问题，并采用有效约束技术求得精确的最优解。

• we present an algorithm for the solution of general inequality constrained optimization problems.

  我们提出一个一般不等式约束优化问题的求解算法。

• a method for solving minimax problem is presented, which also can be used to solve linear or constrained optimization problems.

  提出了一类解极小极大问题的熵函数法，这种方法也可用来解线性或约束优化问题。

• the array parameters are optimized using the nonlinearly constrained optimization method so that the antenna achieves side lobe suppression up and null filling down in the vertical radiation pattern.

  采用约束非线性优化方法，对其阵列参数进行优化，实现了垂直面内上半空间的旁瓣抑制和下半空间的零值填充。

• in convex programming theory, a constrained optimization problem, by kt conditions, is usually converted into a mixed nonlinear complementarity problem.

  在凸规划理论中，通过kt条件，往往将约束最优化问题归结为一个混合互补问题来求解。

• sequential quadratic programming (sqp) method is an efficient method for solving smooth constrained optimization problems because of its fast convergence rate.

  由于序列二次规划（sqp）算法具有快速收敛速度，所以它是求解光滑约束优化问题的有效方法之一。

• block matrices of this form arise in numerous applications, ranging from constrained optimization problems to the solution of differential equations.

  这种形状的块阵来自一系列从带约束的最优化问题到微分方程的解等众多应用领域。

• using non-stationary multi-stage assignment penalty function to deal with the constrained conditions, a modified differential evolution(mde) for nonlinear constrained optimization is proposed.

  采用非固定多段映射罚函数法处理问题的约束条件，提出了一种用改进差分进化算法求解非线性约束优化问题的新方法。

• in the second and third chapter, we mainly concerned pvd algorithms and pvt algorithms for constrained optimization problem.

  第二、三章，我们研究了含特殊约束最优化问题的pvd算法和pvt算法。

• to solve the equation constrained optimization problems, two new particle swarm optimization algorithms are presented. the experimental results show the algorithms are effective.

  提出了求解有等式约束优化问题的两种新粒子群优化算法，数值试验结果表明，算法是有效的。

• for the constrained optimization problems in engineering, ipso is combined with punish function to get the optimum.

  针对工程中的有约束的优化问题，将改进粒子群算法与函数法相结合进行求解。

• in this paper, we consider a kind of convex constrained optimization problem.

  在文本我们考虑一类凸约束优化问题。

• image matching belongs to constrained optimization problems. whether the system would converge to the global optimum is still an open problem.

  图像匹配是一种约束最优化问题，系统是否收敛于全局最优值一直尚未解决。

• an improved floating-point coded genetic algorithm controlled by information entropy is presented to solve the constrained optimization problems based on the quasi-exact penalty function.

  在用準精确惩罚函数处理约束优化问题的基础上，提出一种基于浮点数编码机制的信息熵控制多种群遗传算法。

• based on the minimum output energy criterion, the algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently by using neural network.

  这种盲检测算法基于最小平均输出能量準则，本质上是一个有约束的最优化问题。

• in this paper, equality constrained optimization is researched.

  本文研究了等式约束优化问题。

• lagrange solution is employed to convert the constrained optimization problem and bisection method is used to reach a fast convergence in searching for the optimize lagrange multiplier.

  该算法利用拉格朗日算法将约束条件下的最优化问题进行转化，并采用对分算法加快搜索最优拉格朗日乘子的收敛速度。

• neural networks for a class of constrained optimization problems is presented, and network formulations for several common constrained optimization problems are given.

  提出了一类解不等式约束优化问题的神经网络，并针对几个党见的约束优化问题给出了相应的网络求解公式。

• a reduced preconditional conjugate gradient path method with nonmonotonic technique for linear equality constrained optimization problem is proposed.

  采用既约预条件共轭梯度路径结合非单调技术解线性等式约束的非线性优化问题。

• a new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.

  为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。

• thirdly, with a genetically constrained optimization method, the interpretation model that accounts for water flooding is set up for remaining oil saturation.

  综合利用遗传约束优化方法，建立了考虑水淹影响因素的剩余油饱和度测井解释模型。