- 更多网络例句与非线性规划相关的网络例句 [注：此内容来源于网络，仅供参考]
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In this paper,several continuous variables are introduced to replace the discrete decision variable s,most importantly the pipe .
在数学模型中，引入连续变量代替离散的决策变量，这些连续变量是管道的"分段长度"，将混合整数非线性规划问题转化成连续的非线性规划问题。
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The combinatorial and delimitative algorithm can be used to solve the problem. A software called "Power Discrete" to implement this algorithm is developed by using Microsoft Visual6.0. It is a useful tool for linear programming problem with discrete variables and for discrete optimum design of structures, and in addition, the software also includes other algorithms such as genetic algorithm.
在国际上， 20世纪 60年代末期和 70年代初期，研究人员已开始对工程离散变量优化设计问题进行研究，但由于当时对于连续变量的非线性规划问题的研究还不够深入，所以在 70年代和80年代，研究的重点集中于连续变量的非线性规划问题。
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First, the model is set up based on the traditional method of defuzzifying. Then a fuzzy nonlinear pragramming inventory model with fuzzy constraints is established by considering the fuzzy demand as fuzzy constraints. According to the principle of maximal membership grade, the model is transformed into a deterministic nonlinear programming to find out the optimal solutions.
文章首先建立了基于传统逆模糊化方法的库存模型；然后，通过把模糊需求看成模糊约束条件，建立了一个带有模糊约束的模糊非线性规划模型，进而根据最大隶属原则，将模型转化为确定型非线性规划问题，寻求最优解。
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To solve the nonlinear 0-1 programming problem, it is transformed into an equivalent continuous nonlinear programming on the domain of [0, 1] by a nonlinear equality discrete constraint.
为了求解非线性0-1离散规划问题，通过非线性等式的"离散性约束"将其转化为[0， 1]区间上等价的连续变量非线性规划。
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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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This paper presents some approximate algorithms for minimax nonlinear programs with inequality constraint s by using maximum entropy method and algorithms relevant to nonlinear programming with inequality constraint s,and convergence theorems concerning these algorithms are given.
结合极大熵方法与不等式约束非线性规划的有关算法，提出了求解不等式约束极小极大非线性规划的一种近似法，并讨论了算法的有关收敛
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Probability distribution of anchoring data can be regarded as nonlinear programming with certain restriction. Programming with the restriction can be transferred to nonlinear programming without restriction by use of Lagrange Method and can be then easily resolved by step-acceleration method of one variable.
锚固强度参数的概率分布问题可以归结为带约束的非线性规划问题，利用条件极值的拉格朗日乘数法可以将带约束的规划问题转化为无约束的非线性规划问题，并可以采用运筹学中的单变量步长加速法非常方便地求解。
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Firstly,the mixed-integer bi-level programming is transformed into a single level continuous optimization problem by virtue of penalty function concept and optimal value function tool.
利用罚函数思想和最优值函数的概念将混合整数双层规划转化为连续变量的单层非线性规划，然后用事先确定步长的凸组合算法迭代求解此单层非线性规划，进而得到原双层规划的局部最优解
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By using the direct parallel method, the optimal control problem is converted into a nonlinear programming problem that is then solved by means of the sequential quadratic programming.
用直接配置方法将最优控制问题转化为非线性规划问题，用序列二次规划方法对转化后的非线性规划问题进行求解。
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On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.
在此基础上，利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系，并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法)；(2)以数学规划为基础，结合数量经济学和技术经济学，引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型，进而获得全气田及各采气厂的最优方案，并引入资金时间价值对五年规划模型进行改进；(3)以非线性规划问题的最优解及算法理论为基础，引入SUMT算法以及遗传算法对模型的求解进行研究，并在原有的遗传算法基础上，引入自适应调整方法对遗传算法进行改进；以算法的收敛性理论和计算复杂性理论为基础，逐一分析SUMT算法以及遗传算法的收敛性，并比较三种算法的优劣性。
- 更多网络解释与非线性规划相关的网络解释 [注：此内容来源于网络，仅供参考]
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Stanford University MINOS：非线性规划
LINDO Systems LINGO 大规模线性规划/非线性规划/混合整数规划 | Stanford University MINOS 非线性规划 | IBM OSL 高性能线性规划/混合整数规划
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Non-Linear Programming：非线性规划
非线性光学 Non-Linear Optics | 非线性规划 Non-Linear Programming | 非线性振荡 Non-Linear Ocsillation
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nonlinear programming problem：非线性规划问题
nonlinear programming 非線形計画法 | nonlinear programming problem 非线性规划问题 | nonlinear quantizer 非线性分层器
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nonlinear programming：非线性规划
非线性规划(Nonlinear Programming)是具有非线性约束条件或目标函数的数学规划. 非线性规划研究一个 n元实函数在一组等式或不等式的约束条件下的极值问题,且目标函数和约束条件至少有一个是未知量的非线性函数. 目标函数和约束条件都是线性函数的情形则属于线性规划.
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mixed-integer nonlinear programming：混合整数非线性规划
多目标模糊决策:Multiobjective fuzzy decision-making | 混合整数非线性规划:mixed-integer nonlinear programming | 混合整数线性规划:mixed integer linear programming.
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Nonlinear Programming, Spring：非线性规划
15.082J 网络最优化 Network Optimization, Spring 2003 | 15.084J 非线性规划 Nonlinear Programming, Spring 2004 | 15.084J 非线性规划 Nonlinear Programming, Spring 2003
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Method Nonlinear Programming：非线性规划
非线性优化方法:nonlinear optimization method | 非线性规划:Method Nonlinear Programming | 品牌文化:design method
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nonlinear programming,NLP：非线性规划,非线性程序设计
非线性流水线 nonlinear pipeline | 非线性规划,非线性程序设计 nonlinear programming,NLP | 非线性量化 nonlinear quantization
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nonlinear programming,NLP：非线性规划,非线性程式设计
"非线性流水线","nonlinear pipeline" | "非线性规划,非线性程式设计","nonlinear programming,NLP" | "非线性量化","nonlinear quantization"
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Sequential quadratic programming：非线性规划
发动机模型:Sequential quadratic programming | 非线性规划:Sequential quadratic programming | 重模二次剩余:Double-module quadratic residue