Linear Programming optimization model is setup, and a heuristic algorithm is given.
建立了线性规划优化模型，提出了一种启发式算法。
The corrective control problem was decomposed into a nonlinear power flow and linear sensitivity computation sub-problem and a sensitivity-based linear programming optimization control sub-problem.
该算法基于连续线性规划技术，将安全校正问题分解为非线性潮流和线性控制灵敏度计算子问题以及基于灵敏度的线性规划控制子问题。
But dynamic programming is usually applied to optimization problems like the rest of this article's examples, rather than to problems like the Fibonacci problem.
但是动态编程通常被用于最优化问题(比如本文后面的示例)，而不是像斐波纳契数这样的问题。
Linear programming is a tool for solving optimization problems.
线性编程是一个用来解决优化问题的工具。
It refers to the act of cutting across the established divisions of responsibility (such as logging and performance optimization) in a given programming model.
它指的是在一个给定的编程模型中穿越既定的职责部分（比如日志记录和性能优化）的操作。
Loop unrolling has been an optimization technique since the dawn of computer programming.
循环展开从计算机编程诞生开始就已经成为一种优化技术了。
Since the development of the simplex algorithm, linear programming has been used to solve optimization problems in industries as diverse as banking, education, forestry, petroleum, and trucking.
由于simplex算法的出现，线性编程已经在工业界、银行界、教育界、林业、石油行业以及运输业界中广泛地用来解决优化问题。
Caching and optimization are transparent and require no additional programming muscle.
缓存和优化都是透明的，并不需额外的编程。
Optimization mathematical model of special transformer electromagnetism parameters is a nonlinear programming problem with equality and inequality constraints, to meet some certain design objective.
特种变压器电磁参数的优化设计是一个带有等式和不等式约束，满足某种设计目标的非线性规划问题。
Finally, the optimization of system management would be completed through solving nonlinear mixed integer programming.
最后通过解决非线性混合整数规划，完成系统的优化管理。
This paper presents a multi-objective optimization approach based on compromise programming to optimize concrete bridge deck maintenance policies.
为制定合理的混凝土桥面板维修策略，提出一种基于折衷规划的多目标优化方法。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
A kind of effective comprehensive evaluation method: multi-objective programming method was put forward which solves packaging project optimization with new way of thinking.
提出应用一种有效的综合评价方法——多目标规划法解决包装方案优化的新思路。
This paper presents a reactive power optimization model that is based on successive quadratic programming methods.
介绍了一种无功优化模型，并基于连续二次规划的方法。
It's a complex nonlinear programming question to find the optimization parameter in the Ordering and transporting of steel tube.
钢管订购和运输中的参数优化问题是个复杂的非线性规划问题。
Be inspired from natural plant growth, this paper proposes a bionic algorithm for solving the global optimization of nonlinear integer programming.
从大自然植物生长中得到启发，提出了一种求解非线性整数规划全局最小解的仿生算法。
Finally, Fuzzy Physical Programming is used in optimization of running chart of through passenger train.
最后，应用模糊物理规划进行了直通旅客列车开行方案的优化。
Based on the research of the internal features of maintenance scheduling problem, this paper establishes its integer programming based optimization module and algorithm.
本文在研究检修计划问题的内在特点基础上，建立了基于整数规划的检修计划优化模型和算法。
We resort to a constraint programming approach to formulate and solve the optimization problem.
我们使用约束规划的方法来形式化描述和解决这个优化问题。
Now, when we talked about optimization problems in dynamic programming, I said there were two things to look for.
现在，当我们讨论，动态编程中的最优化问题时，我想说有两件事需要注意。
Plant growth simulation algorithm aiming at the global optimization of integer programming is a kind of bionics random algorithm which occurs in nature.
针对整数规划全局优化问题所首次提出的模拟植物生长算法，是一种源于大自然的仿生类随机算法。
By setting up a commonly linear programming of enterprise product structure optimization, carrying out it and gaining a optimal production.
通过建立企业产品结构优化的一般线性规划模型，进行求解并获得最佳的产品生产计划。
In this paper, a new linear programming algorithm of optimization design for cylindrical spiral spring is introduced.
本文给出了圆柱螺旋弹簧优化设计的一种新算法——线性规划算法。
Uncertain programming is an important content of the optimization theory for uncertain systems.
不确定规划是不确定环境下的系统优化理论的重要内容。
Responsible for Initial client consultation and ideation stage, through to design implementation, site optimization and final programming.
负责为客户提供从咨询、构思服务到设计执行、场地优化及最终规划。
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。
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。
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