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- 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。
- The optimization problem was constructed in a prime space, the dual problem was solved in a eigenspace by the kernel skill and the solutions were the same as nonlinear KPLS. 在初始空间中构造优化问题，应用核技术在特征空间中解对偶问题，这种解与非线性的KPLS具有相似性。
- A constrained optimization problem in primal weight space with incorporation of a regularization term was discussed.The dual problem was solved by using the kernel trick. 给出一个含有规则化项的原始权空间的约束最大优化问题，应用核技巧来解决其对偶问题。
- Again, this is a multi-variate optimization problem. 这也是一个多变量的最优化问题。
- Layout problem is a combinatory optimization problem. 布局问题是一个组合最优化问题。
- Dual optimization of seismic attributes based on Grey association analysis and K-L transform. 基于灰关联分析与K-L变换的双重属性优化方法。
- The TSP is a classic combinatorial optimization problem. TSP是经典的组合优化问题。
- 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。
- 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。
- 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。
- 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。
- In this thesis, the generalized convexity and their applications in optimization problems such as extremum problems, dual problems, Hahn-Banach theorems and system of vector quasi-equilibrium problems etc. 本文研究广义凸性及其在极值问题、对偶问题、Hahn-Banach定理和向量拟平衡系统问题等最优化问题中的一些应用。
- 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 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。
- Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms. 罚函数方法是求解约束（极小）优化问题的一类较好的算法。
- The scheduling of grain logistic processes is a combinatorial optimization problem. 摘要粮食物流过程的调度是一个组合优化问题。
- 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。
- Searching for the object's concavities of active contour model (Snake model) is a dynamic optimization problem. 摘要主动轮廓线模型凹陷边界点的寻优属于动态优化问题，由于其复杂性，传统方法不能准确搜索到最佳边界点。
