- 更多网络例句与约束决策变量相关的网络例句 [注：此内容来源于网络，仅供参考]
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According to the system view ofdegradation and decomposition put forward above,the paper proposes a newSplit Reasoning Simulation for qualitative model algorithm called SRSQM,which implements the decomposing,reasoning and solving of qualitative models.In another word,it combines variable cluster and causality graph to decompose acomplex qualitative model into many componentsand constraintsamong those components.Through the qualitative reasoning of the componentsand globally propagating the results,the overall solutions can be achieved.
根据复杂系统的递阶分解的系统观点，本文提出一种新的定性模型分解推理仿真算法，称作SRSQM，实现对定性模型的分解推理求解，即对于一个复杂的定性决策模型，应用变量聚类和因果图相结合的方法，将复杂的定性模型分解成若干个单元及其单元之间的约束，通过对各个单元的定性推理以及将单元推理的结果进行全局传播和过滤，得到整个系统的全局解。
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The first level and the lower level both have their objective functions and constraint conditions, the objective function and constraint conditions of the first level not only have relations with the upper decision variable, but also depends on the optimal value of the lower level.
上层和下层各有目标函数和约束条件，上层问题的目标函数和约束条件，不仅与上层决策变量有关，而且还依赖于下层问题的最优解或最优值。
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The content of process optimization include four parts: the choice of decision variable; the determination of object function; the establishment of constraint condition and the choice of optimization algorithm.
过程优化问题需要解决决策变量的选取、确定目标函数、建立约束条件、选择优化算法等四个方面的问题。
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Optimal algorithm of combined nonlinear Hopfield network appears powerful validity in solving nonlinear planning, which includes nonlinear objective function, linear constrains and high-demension of decision-making variants, for its ability of nonlinear parallel computation. It is prominent among optimal algorithms because of its function of simply implement with electrocircuit hardware. Genetic algorithm is expressly suitable for optimal calculation regarding the planning of massive, highly nonlinear, inconsecutively differentiable and multiobjective function as well as objective function without analytical expression. However, it inclines to prematurity, as well as its limitation in ability of partial optimal search. Introducing the optimal algorithm of niche genetic simulated annealing to standard Genetic algorithm, can therefore improve the full-scale or partial search ability of Genetic algorithm effectively. It has a far-flung perspective in the field of systemic planning of water pollution control.
组合式非线性Hopfield网络优化算法所具有的非线性大规模并行计算能力在求解具有非线性目标函数、线性约束条件及高维决策变量的非线性规划问题方面显示出了强大的生命力，它易于电路硬件实现的功能更是在优化算法中独树一帜；遗传算法采用概率搜索技术，不受目标函数与约束条件的限制，特别适合大规模、高度非线性的不连续可微的多峰目标函数及无解析表达式的目标函数的规划问题的优化计算，但其存在容易早熟、局部寻优能力较差等缺点，本文在标准遗传算法中引入小生境技术及模拟退火算法有效地改善遗传算法的全局和局部搜索性能，提高了全局最优解的寻优质量，小生境遗传退火模拟优化算法在水污染控制系统规划中的应用前景极为广阔。
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It can be integrated into existing applications. It is designed for application developer. The system provides power modeling. Users can widely select decision variables, such as integer, real, Boolean, etc. Users can also select extensive set of predefined constraints, such as primitive constraints and function constraints, local constraints and global constraints.
"明月"系统是开放的C++类库，可嵌入到具体的应用中，可扩展，是面向开发人员设计的；系统具有强有力的建模功能，用户可以广泛选择决策变量，例如整型、实型、布尔型等；可扩展的预定义约束集合，其中包括基本约束和功能约束，局部约束和全局约束。
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The effective heat-transfer temperature difference of every effect of multi-effect evaporation subsystem and the preheat temperature rise Δt_(p,j of every level of multi-level preheat subsystem of the design model were distributed by equal heating area, equal heat-transfer temperature difference, and free proration methods.
设计型模型对多效蒸发子系统各效有效传热温差Δt_i的分配和多级预热子系统各级预热温升Δt_的分配分别采用等面积法、等温差法、自由配比法等进行分配并采用矩阵法结合迭代法进行设计模拟计算，其中自由配比法巧妙地将具有复杂约束条件的决策变量Δt_i和Δt_转化为取值0～1的中间决策变量τ_i、τ_，为Δt_i和Δt_的自由搜索进而为优化设计提供了一个简便的方法；在常规设计模拟计算的基础上，建立了复杂多效蒸发系统优化设计模型，该模型以系统年总费用最小为优化目标，以生蒸汽温度T_0、冷凝器中二次蒸汽温度T_K、蒸发温差配比系数τ_i和预热温升配比系数τ_为决策变量，采用遗传算法结合矩阵法求解。
- 更多网络解释与约束决策变量相关的网络解释 [注：此内容来源于网络，仅供参考]
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bound decision variable：约束决策变量
bound 界 | bound decision variable 约束决策变量 | bound term 约束项
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bound term：约束项
bound decision variable 约束决策变量 | bound term 约束项 | bound variable 约束变词
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integer programming：整数规划
整数规划(integer programming)亦称整数线性规划,它实质上是在线性规划的基础上,给一些或全部决策变量附加取整约束得到的.
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opt：优化
决策变量、约束条件、目标函数是线性规划的三要素.线性规划问题的数学模型的一般形式 (1)列出约束条件及目标函数2、目标函数是决策变量的线性函数,根据具体问题可以是最大化(max)或最小化(min),二者统称为最优化(opt).