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optimization problem相关的网络例句

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与 optimization problem 相关的网络例句 [注:此内容来源于网络,仅供参考]

To distribution center, vehicle routing problem is a pivotal problem to logistic system optimization.

对配送中心来说,物流配送车辆的路径优化是物流系统优化的一个关键环节。

The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.

多目标最佳化的问题通常会面临到许多互相冲突且不能用同ㄧ标准单位的目标,於是利用模糊理论中的归属函数,首先将各目标函数转换成模糊集合并以归属函数表示,归属函数包含了最大限制值、最小限制值、单调的递减函数所组成,将各目标函数利用归属函数表示,形成单一目标函数的最佳化,但是仍缺乏权重值对於目标函数的调整,於是本篇论文提出ㄧ种权重值设定与粒子群优演算法的方法去解决多目标最佳电力潮流的问题,将各目标函上分别加上权重值设定各目标函数的权重值,得到预期的效果。

In the computational methods of TPBVP, in order to reduce some difficulties involved in solving a TPBVP via adjoint variables, we discuss a direct method in which state and control variables are indirectly parameterized, The method employs a recently developed direct optimization technique that uses a piecewise polynomial representation for the state and control variables, thus converting the optimal control problem into a nonlinear programming problem, which can be solved numerically.

在数值解法中,为了减少解决两点边值问题共轭变量带来的困难,主要讨论了将状态变量和控制变量进行参数化的一种直接方法,这种方法采用了近段发展起来的使用分段的多项式来代替状态和控制变量的直接优化方法,然后最优控制问题就转化成可以用数值方法解决的非线性规划问题,使得迭代初值更加容易选取。

According to the requirement of a minimum-fuel-consumption, a method of coplanar hit orbit optimization design for SGKW was studied. The dimensionless planar motion model of SGKW was founded, and the optimal control problem of minimum-fuel-consumption coplanar hit orbit was derived into two-point-boundary-value problem according to Pontryagin maximum principle.

针对燃料最省要求,研究了SGKW共面打击轨道优化设计方法,建立了SGKW的无量纲化平面运动模型,利用庞特里亚金极大值原理将燃料最省共面打击轨道的最优控制问题转化为两点边值问题。

The shortest path problem is a classical problem of network optimization. Its practical application and theoretic research is valuable.

最短径路是网络优化中的一个经典问题,Dijkstra算法被公认为是一种十分有效的最短径路的搜索求解算法。

Shortest path problem is a basic problem in the combinatorial optimization. The objective in the network is time-varying.

在组合优化过程中,往往需要获得从起点到终点之间的最短路,而其所考虑的目标可能是一个与时间相关的变量。

Key Words: Dynamic network, Time dependent vehicle route problem, Time dependent shortest path problem, route construction algorithm, Genetic Algorithm, Ant Colony Optimization Algorithms, Component-based software development

最后,对本文的主要工作和研究成果进行了总结,并简要讨论了进一步的研究方向。关键词:动态路网,时间依赖型车辆路径问题,动态最短路径问题,构造算法,遗传算法,蚁群算法,组件式开发

We adapt the linear programming formulation that is proposed by Leachman[1992] to model the production planning problem of the semiconductor wafer fabrication. Using the sensitivity analysis method of linear programming simplex algorithm, we can revise Available-To-Promise by post optimization calculation of the original production planning problem. This thesis proposes an order quotation management system that can provide decision information in short time by using speedy modern computers.Furthermore, the delivery schedule planning module can provide the precision information about delivery date and quantity of an order.

本论文是以半导体晶圆厂为研究对象,利用现有 Leachman [1992] 所提出之生产计划模型为基础,透过线性规划中敏感度分析的方法来重解原生产计划模型,产生新的可应允数量,并应用现今电脑系统快速而大量运算的能力,构建一个能即时且电话中提供相关决策资讯的订单查询管理系统,以精确而快速的回应顾客之订单查询需求。

Research on the related attribute of evidence, influence and method of dealing with is carried out. Result of experiment demonstrates that the method can lead to the reliable decision effectively. Aiming at conflicting problem of decision making, fusion strategy of BPA reassign is adopted in coordinator of GDSS. Aiming at contradictory of decision-making, the process of decision-making is divided into two stages that are learning and decision-making. Each Agent is trained by proper information given by training example to eliminate contradictories among decision-making Agents and correct mistakes that ensure Agents cooperate effectively in the stage of cooperating decision.(3) In order to overcome the flaw of current GDSS that can only support static problem solving, adopting the method that combing Multi-Decision-Making-Agents Reinforcement Learning and the metempirical knowledge learning, the paper puts forward Reinforcement Learning and optimization under dynamic environment.

提出采用证据理论的证据合成作为协调器中决策Agent的融合策略,对群体决策支持系统的协调器进行决策融合过程中可能出现的情况进行了详细的分析,研究了证据的相关性及其在决策融合过程中的影响,提出了相关证据的处理方法,实验结果表明,该方法可有效保证决策结果的可靠性;针对决策过程中的冲突问题,提出协调器采用基本信任指派二次分配的协调策略;针对决策过程中的矛盾,提出将决策过程分为学习和决策两个阶段,各决策者Agent根据有限的训练样本所给出的正确信息进行训练,消除决策者Agent之间的矛盾和修正决策者Agent自身的错误,从而保证合作决策阶段实现有效的合作决策。

First,how to map the resource assignment and task scheduling problem into the optimization selection problem of task resource assignment graph and to add the semaphore mechanism in the optimal TRAG to solve deadlocks are explained.

首先阐述了如何将分配调度问题映射到任务资源分配图的优化选择问题上和如何将信号量机制引入到最优任务资源分配图中来解决死锁问题。

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