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- Layout problem is a combinatory optimization problem. 布局问题是一个组合最优化问题。
- layout optimization problem 优化排料问题
- An equation or inequality relating the variables in an optimization problem. 在优化问题中，一种表示若干变量相互关系的方程(式)或不等式。
- Again, this is a multi-variate optimization problem. 这也是一个多变量的最优化问题。
- The TSP is a classic combinatorial optimization problem. TSP是经典的组合优化问题。
- The MX workstation provides cost-effective printing features such as film layout optimization and automatic printing. MX工作站提供具有成本效益的打印功能,例如,优化胶片布局和自动打印。
- In the idea of 3D Layout Optimization, 3D Space is decomposed by octree algorithm. 通过三维布局优化思想,采用八叉树算法分解布局空间,得到最优布局结果。
- The truck dispatching can be taken as a multivariable optimization problem. 卡车调度可以化为一个受多变量影响的最值问题。
- The exemplification results expatiated that the method proposed is really simple and efficient to the layout optimization of truss structures. 算例表明，该遗传算法对桁架结构的布局进行优化设计比较容易实现，简单、有效，可以产生很好的效益。
- Task allocation problem is a typical combinatorial optimization problem. 任务分配问题是一类典型的组合优化问题。
- Studies optimization problems which a urban coal field location layout and the coal allocates and dispatches. 摘要研究一个城市煤场布局与煤炭配送的最优化问题。
- An example of 12 facility layout optimization is given and the algorithm is rapidly converged at about 170th generation.The result is presented using virtual reality technology. 最后，给出了一个12台设备车间布局仿真算例，结果表明，算法快速地在进行170代左右时达到了收敛，并采用虚拟现实技术将计算结果形象地呈现出来。
- The cast grouping and ordering problem of steelmaking continuous casting hot rolling (SM-CC) is a combinatorial optimization problem. 摘要炼钢-连铸生产的浇次组合与排序是带有工艺约束的并行机流水车间调度问题。
- Results indicate that this method can meet the needs of readability and efficiency of real project, and also can be generalized into other layout optimization which has topological connections. 计算结果表明，此法可以很好地满足工程中对图纸可读性和出图效率的要求，并可推广到一般的具有拓扑连接关系的布局优化问题中去。
- Based on the K-T condition and NCP function, we present a trust region algorithm for solving minimax optimization problem. 借助于K-T条件和NCP函数,提出了处理一类极大极小优化问题的信赖域算法。
- DFP and RAGA on maximum entropy theory are proposed, an environment optimization problem is good solved. 和用基于最大熵原理的变尺度算法(DFP)利实编码加速遗传算法(RAGA)，解决了带约束的环境优化问题。
- The genetic algorithms are used for solving the parameter inversion as an optimization problem. 利用遗传算法求解此反演问题的方法，把参数反演问题转化为优化问题，通过演化计算方法求解。
- The final control net is obtained by solving a nonlinear optimal problem. 重构曲线的最终控制网格可通过求解一个非线性优化问题获得。
- By using this algorithm, working optimal problem can be satisfactorily solved. 运用这一算法,较为满意地解决了这一作业优化问题。
- The approximation for MSE is obtained and used to solve the optimization problem for design variables. 作者在MSE极小的意义下，给出辨识设计变量的解析表达式。
