在此基础上，提出了拆卸时间和拆卸成本的计算算法及0 1型拆卸优化模型。
Based on that, the algorithm for disassembly time and disassembly cost, and a 0-1 programming model of optimizing product's disassembly were established.
实例验算表明，所给模型及算法可以在合理的时间内求解大规模规划问题，有效地降低公司成本。
Examples of checking computations show that this model and algorithm can solve problems of planning on a large scale within a reasonable period of time, thus effectively reducing a company's costs.
在NGN网络体系分析基础上，基于综合成本概念建立网络拓扑优化模型，并提出了相应算法。
Topology optimization model based on the concept of TCO is derived from the structure analysis of NGN network, and correspondent algorithms are provided.
在此基础上以运输成本最小化为二级目标建立模型，将其转化成带有分层的网络流模型，用最小费用最大流算法进行求解。
On this basis, in order to minimize the two objectives of the transport costs to model, to convert it into a network flow model with a stratified, with the minimum cost maximum flow algorithm.
本文基于关键路线和次关键路线的概念，建立了网络计划最低成本日程的模型，并提出一种求解该模型的新算法。理论分析和实际计算表明，它简单、易行、效果好。
Based on the concepts of both critical paths and suberitical paths. a model for the least cost scheduling in network project is built, and a new algorithm for solving this model is proposed.
其次，建立了成本目标优化模型，提出控制法则并给出控制算法；
Secondly, the model of the cost objective optimization was established, and the general optimal control law and control algorithm were proposed.
针对军事配送的特点，以“等待损失”和运输成本最小化为目标，建立了问题的数学模型，并应用蚁群算法求解了这一问题。
Based on the characteristics of resources in military grid, the mathematical model of task scheduling in military grid is established and is further formal defined.
以机床加工准备成本及工件库存成本和加工流动时间为优化目标，建立了CONWIP系统整数规划模型，并提出了求解问题的启发式算法。
CONWIP integer programming model is built, and its optimization goal is machine setup cost and inventory cost and production flow time. In order to solve this model, the heuristics are provided.
以油田措施增产最大化为目标，兼顾成本、工作量等目标，建立了油田措施规划的模糊期望值模型，并给出了模型的混合智能算法。
The problem is formulated as expected value model, and the objective function is to minimize the setup costs, production costs and inventory holding costs.
为此 ，研究了产品与过程设计活动之间的并行度优化问题 ，并建立了数学模型 ，给出了求解该问题的算法 ，其目的是使因延迟产品开发完成时间和不必要的设计修改而带来的成本尽可能最低。
A parallel optimization algorithm is proposed based on the idea of affinity maturation of immune cells in the germinal centers in order to achieve as many as possible local optimal solutions.
为此 ，研究了产品与过程设计活动之间的并行度优化问题 ，并建立了数学模型 ，给出了求解该问题的算法 ，其目的是使因延迟产品开发完成时间和不必要的设计修改而带来的成本尽可能最低。
A parallel optimization algorithm is proposed based on the idea of affinity maturation of immune cells in the germinal centers in order to achieve as many as possible local optimal solutions.
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