查询词典 constrained optimization

In order to solve the temperature optimization Control for basification Tower in complicated bleaching process, the optimization control strategy is analyzed. To avoid trapping at local optimization effectively, the improvement method for standard genetic algorithm is proposed.

摘 要：针对工艺复杂的漂白工段碱化塔温度控制优化问题，分析了碱化塔温度优化控制策略，提出了标准遗传算法的改进方法IGA，有效避免了标准遗传算法寻优过早陷入局部最优解问题。

We optimized reaction system for labelling-antibody in which the optimal amount of the purified anti-Stx2B IgG conjugated with colloidal gold beads was 60μg/mL, the purified antibody for E.coli O157 was 57μg/mL, the optimal pH was 8.2, the size of colloidal gold partical was 20nm, the optimization of stabilizing agent was BSA, the optimization buffer was boracic acid buffer with pH 8.2, the optimization of preserving fluid and eluant was boracic acid buffer with pH 8.2 including 5mM NaCl-1%BSA, confining liquid for NC membrane was 0.01% PBST with 3%BSA, the amount of polyclonal antibody against E.coli O157 and Stx2 conjugated with colloidal gold beads for conjugate pad was 3μg respectively, the amount of anti-Stx monoclonal antibody for test line was 0.1μg and 1μg for E.coli O157, the amount of goat anti rabbit IgG for control line of both GICA were 1μg.

测定了胶体金颗粒的最优化反应体系：胶体金颗粒的大小为20nm；抗体与胶体金溶液结合的最佳pH约为8.2；最佳蛋白结合量分别为抗大肠杆菌O157 IgG为57μg/mL，抗重组Stx2B IgG为60μg/mL；最佳稳定剂为BSA；最佳缓冲液为pH8.2硼酸溶液；最佳金标保存液和洗涤液为5mM NaCl-1%BSA的pH 8.2的硼酸缓冲液；NC膜的封闭液为3%BSA的0.01mol/L PBST；Stx2试纸条和大肠杆菌O157试纸条的质控线上的羊抗兔IgG的多克隆抗体最佳点样量均为1μg，其检测线的抗Stx2的单克隆抗体的点样量为0.1μg、抗大肠杆菌O157的单克隆抗体的点样量为1μg，结合垫上的金标抗大肠杆菌O157和重组Stx2B多克隆抗体点样量均为3μg。

Ant Colony Optimization Algorithm is a novel kind of simulated evolutionary optimization algorithm, which provides a new method for complicated combinatorial optimization problems.

蚁群优化算法是一种新型的模拟进化优化算法，为求解复杂的组合优化问题提供了一种新的思路。

Job-shop scheduling is a typical combinatorial optimization problem, and large scale scheduling optimization is one of such difficult optimization problems.

作业车间调度是一种典型的组合优化问题，大规模的调度优化是该类问题的难点。

Then, the relations among the robust optimization model, stochastic optimization model, and deterministic optimization model are analyzed and two algorithms, enumeration method and genetic algorithm are presented.

分析了鲁棒优化模型与确定性优化模型、随机优化模型的关系，并在此基础上给出了求解鲁棒优化模型的两种方法——枚举法和遗传算法。

In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic optimization.

与过去20多年的传统一致，最优化书报讨论课程的重点将放在麻省理工学院一部分最优化团体感兴趣的一个高级主题上：确定性最优化的随机方法。

The codes of the two algorithms are implemented by Visual C++ on Visual Studio 6.0. Optimization software Lingo 9.0 is utilized in the code to solve the deterministic optimization model and two-stage stochastic optimization model.

以Visual Studio6.0为平台，以Visual C++为开发语言编写了两种算法的代码，代码中通过调用Lingo9.0来求解确定性优化模型和两阶段随机优化模型。

To facilitate the practical application, some simple rules are summarized to indicate the optimal selection rule among the ones known so far, under different circumstances. 4 Through clearly describing the uncertainties in stochastic simulation optimization and deterministic complex optimization, a unified formulation is proposed for the two types of optimization problems.

为方便工程应用，总结出一些简单规则，指出各种情形下的目前已知最优挑选规则。4通过明确刻画随机仿真优化与复杂确定性优化问题中的不确定因素，为两类问题提供统一描述。

The concept of topology optimization of truss structures with discrete variables including two kinds of variables and the relative difference quotient algorithm for discrete optimization are extended to the topology optimization of plate and shell structures composed by plate and shell elements.

将包含两类变量的桁架结构拓扑优化设计的概念及求解离散优化的相对差商法进一步推广到由板壳单元组成的板壳结构的拓扑优化，建立了包含两类变量的板壳结构拓扑优化设计模型，并采用相对差商算法进行求解。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法，本文提出了一种新颖的混合算法用于求解动、静态无功优化问题，算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势，将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

In fact, I would say that the driver's impatience gives him a certain amount of pleasure.

事实上，我认为司机的不耐烦甚至给他带来了一丝快感。

My braine doesn't work.

我搞不清楚