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Finally, 0-1 integer model of planning of sewage plants and corresponding modified genetic algorithm with binary coding are proposed.

在文章最后,还提出了厂群规划的0-1整数模型及对应的改进遗传算法,编码方式为二进制编码。

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。

On the assumption that the constraint field is not empty and bounded, using the branch and bound theory, an algorithm is presented to solve the by branching the upper-level decision variable.

在可行域非空有界的条件下,运用分支定界方法的思想,对上层决策变量进行分支,又提出了一个求解混合整数线性双层规划的分支定界算法。

On the basis of mathematical analysis, a multiobjective nonlinear programming model on a multiobjective transporting vehicle arrangement is set up. Two fast arithmetic methods, i. e. gradual integralization method and enumerative integralization method, are put forward hereafter and an actual problem is solved by making use of the Matlab program.

针对露天矿生产中的一个多目标优化运输问题,基於数学分析,建立了一个多目标非线性规划模型;提出了模型的逐步整数化方法和穷举整数化方法两种快速算法,并利用研制的Matlab程序计算了一个实际问题。

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

Theses models optimize combination of the equipments in the distribution station and tank cars of each technology.The integer variables and 0 ?

运用整数非线性规划理论建立前四种供气技术气化站和运输方面的设备优化组合模型,转化模型中的整数变量和0 ?

This research which extends the new product supply chain model of Bulter et al. considers issues on global logistics from a more integrated view. First of all, it solves the global logistic settings problem in new product development by means of mixed-integer linear programming. Secondly, it uses the scenario-based robust optimization to lower the risk in the supply chain design. Then it adds the reliability calculation to make up for the gap between the plan and the real operation. At last it calculates and analyzes the quantitative model on the basis of the case data.

本研究延伸Butler等人之新产品供应链模式,考量更完整之全球运筹相关议题,透过混合整数线性规划描述新产品发展时全球运筹配置问题,并利用情境为基础的稳健最佳化以取得低风险的供应链配置,此外加入可靠度的影响,以弥补供应链规划与实际操作的差距,并加入缺货之惩罚成本,最后以范例资料进行计算与分析此数量模式,经由模式计算结果发现本研究规划之结果,相较於原Butler等人之模式有较低的缺货的发生可能性,且所求得之配置整体可靠度皆有所提升。

A model is initially developed based on the in the integer programming, whose objective function is subject to the minimization of the total re-shuffle containers. To reduce the total number of reshuffles for retrieving the containers, a hybrid algorithm, which combines heuristic rule and distributed genetic algorithm, is employed to solve the model. The heuristic rule is to reduce the range of feasible solution and distributed genetic algorithm is to solve the optimization.

该策略以压箱数最少为目标,建立基于整数规划的选位模型;根据发箱时较低翻箱率的要求,采用启发式算法和分布式遗传算法相结合的混合算法求解选位模型;其中启发式规则用于缩小可行解的范围,分布式遗传算法用于求近似最优解。

The algorithm which refers to the benders,s method is given. Limited quantity of stipulations ensures the astringency of the algorithm.

该模型是一个混合整数规划,给出了按BENGERS方法设计的求解算法,模型中约束方程数量的有限性保证了算法的收敛性。

It is a mixed integer programming model.The algorithm which refers to the benders , s method is given. Limited quantity of stipulations ensures the astringency of the algorithm.

该模型是一个混合整数规划,给出了按BENGERS方法设计的求解算法,模型中约束方程数量的有限性保证了算法的收敛性。

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