查询词典 optimization problem

The theory minutely analyze trait of evolutionary programming arithmetic and state variables breakout problem in solving reactive power optimization problem, link reactive power balance theory.. reactive power bed and subarea control theory and adjusted-voltage material law of actual system. The theory first put forward a effective variability quantity modified measure, escape unfeasible problem in evolutionary programming, also make evolutionary programming arithmetic in solving reactive power optimization problem more quick and effective.

详细分析了进化规划算法的特点和在求解无功优化问题时存在的状态变量越限问题，结合无功平衡原理、无功分层分区控制原理以及实际系统中调压的具体规律，首次提出了一套有效的变异量修正措施，避免了进化规划的不可行问题，也使进化规划算法在求解无功优化问题时更加快速有效。

The robustness of this model is discussed by using the S-system model. And the influences of cell growth rate on the biosynthesis of tryptophan, stability and dynamic behavior of the trp operon are investigated. A steady-state optimization model is established. It maximizes the accumulative term accounting for both consumption and secretion. The nonlinear optimization problem is approximately transformed to a linear optimization problem.

本文对表达阻遏蛋白的基因和表达合成色氨酸关键酶的基因之间相互作用进行了研究，通过模型考察了比生长速率对色氨酸生物合成和系统稳定性的影响，对色氨酸合成过程所涉及到的mRNA、酶等的动态行为进行了理论预测和分析，通过S-系统方程将非线性系统转化为线性系统，研究了系统的鲁棒性，并对色氨酸生产进行了优化。

A theorem of the alternative for the generalized subconvexlike set-valued maps is established using the separation theorem of convex sets in a Banach spaces, the concept of weak Benson proper efficient elements for a vector optimization problem is introduced, and the optimality necessary and sufficient Lagrange conditions for a vector set-valued map constrained optimization problem with the weak Benson proper efficiency is developed, with which the optimality Lagrange conditions for a nonconvex vector top-base constrained optimization of set-valued maps with the Benson proper efficiency are obtained.

刘莹 ，刘三阳，盛宝怀运用凸集分离定理对广义锥次类凸集值映射建立了一种择一性定理。引入向量优化弱Benson真有效元的概念，对带约束的非凸向量集值优化问题建立了在弱Benson真有效意义下有效元应满足Lagrange乘子型的必要及充分条件，并用这一结果建立了多目标主从非凸向量集值优化在弱Benson真有效意义下最优解的Lagrange乘子型充要条件。

The modified particle swarm optimization is utilized to solve the proposed reactive power optimization model; and combining with non–stationary multi-stage assignment penalty function, the reactive power optimization problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved, and power grid company can achieve maximal economic benefit by means of the proposed algorithm.

应用改进粒子群优化算法求解该无功优化模型，并结合动态调整罚函数法将无功优化问题转化成无约束求极值问题，从而有效地提高了改进粒子群优化算法的全局收敛能力和计算精度，使电网公司取得了最大经济效益。

A multi-period reactive power optimization method based on two-layer genetic algorithm is presented,which recasts the complex reactive power optimization problem into a parallel processing problem of multi-period static reactive power optimization.

提出了一种基于两层遗传算法的多时段无功优化方法，将复杂的无功优化问题转化为多个时段静态无功优化的并行处理问题。

For a variety of hybrid flexible flowshop process route of the problem of production scheduling, analysis of production process planning and shop scheduling system integration principle, set up the target model, by a simple genetic algorithm to improve, in the integrated model set up based on the algorithm research, put the post-evolutionary genetic algorithm and improved simulated annealing algorithm an organic combination of algorithm optimization mechanism to enable the integration and optimization of the structure complement each other to form a more efficient hybrid optimization algorithm, and to solve the problem.

针对混合柔性流水车间多种工艺路线的生产调度问题，分析了生产工艺计划与车间调度系统的集成原理，建立目标模型，通过将简单遗传算法加以改进，在建立集成模型的基础上，对算法进行研究，把进化后的遗传算法和改进的模拟退火算法有机结合，使算法优化机制融合和优化结构互补，形成较为高效的混合优化算法，并对问题进行求解。

In this dissertation, firstly, the theories and methods about chaos control and chaotic optimization are studied. Based above, some new approaches for chaos control and chaotic optimization are proposed. Furthermore, the application of chaotic optimization for test generation of combinational logic circuits is investigated in detail, and new methods for test generation are proposed based on chaotic optimization.

本论文在对混沌控制与混沌优化的相关理论和方法进行较为全面、系统的研究基础上，提出了一些新的混沌控制与混沌优化方法，并针对混沌优化与混沌神经网络在组合电路测试生成问题中的应用展开了详细研究，提出了基于混沌优化的组合电路测试生成方法，得到了有价值的成果。

The reliability theory is combined with the fuzzy optimization technique, the theories and methods on the symmetrical fuzzy reliability optimization design, the asymmetric fuzzy reliability optimization design and the multi-objective fuzzy reliability optimization design are presented respectively, and then the correspondence direct model solutions, the iterative solutions, the corrected algorithm for iteration method, the level cuts solutions and the searching solutions with limited boundary for the asymmetric fuzzy reliability design are presented respectively.

将可靠性理论与模糊优化技术有机地结合起来，提出了结构对称模糊可靠性优化设计、非对称模糊可靠性优化设计和多目标模糊可靠性优化设计理论与方法，并分别给出了模型的直接解法、迭代解法、迭代求解的改进算法和非对称模糊可靠性优化设计模型的水平截集法和限界搜索法。

The course is a comprehensive introduction to the theory, algorithms and applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization.

本课程对整数最优化的理论、算法和应用做了全面的介绍。课程分为四部分：公式和松弛、整数最优化的代数学和几何学、整数最优化的算法，以及整数最优化的拓展。

The main works include five parts:(1) A modified K-means algorithm for optimizing the RBPNNs' structures was proposed;(2) The RBPNNs' structure optimization method based on the orthogonal least square algorithm was proposed that can greatly reduce the computation expense for the structure optimization;(3) Using the GA to perform the whole structure optimization of the RBPNNs was proposed in this thesis, which include simultaneous optimization of the hidden centers and the corresponding controlling parameters of the kernel functions.

主要工作体现在如下三个方面：(1)提出一种改进的 K-Means 算法；(2)提出了基于递推正交最小二乘算法的结构优化算法来训练径向基概率神经网络，从而大大减小了用于结构优化的计算开销；(3)提出使用遗传算法来实现径向基概率神经网络的全结构优化，即隐中心矢量和核函数控制参数同时优化，通过新设计的编码方式、新构造的适应度函数，充分发挥了 GA 的全局搜索性能，使得所优化的径向基概率神经网络的结构趋于最简。

The dissecting of samples in group2 were difficult. The root of pulmonary artery and ascending aorta failed to be unfolded because fibrous tissue was tough, right and left fibrous trigone were too firm to be solved by hand. Cardiac muscle fibers couldn't be stripped along myofibrillar trajectory since they were prone to break because of their friability.

组2的心脏解剖困难，表现为纤维组织坚韧，游离肺动脉非常困难；徒手无法松解左、右纤维三角，肺动脉和主动脉根部的游离非常困难；心肌纤维坚硬、质脆，解剖时容易断离成碎块，无法沿纤维走行方向剥离。

We have battled against the odds in a province that has become increasingly violent.

我们对在一个争夺日益激烈省的可能性。