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- The goal of this dissertation is to apply Simulated Annealing Algorithm to aerodynamic shape optimization problems on the CFD-Solver and to develop a new gradient free optimization method that could decrease time cost greatly for aerodynamics problems. 本文的主要目的是:结合流场的正交分解算法,将模拟退火算法应用于气动外形优化设计领域,致力于发展一种不依赖于梯度信息同时可以极大降低计算开销的新型气动外形优化设计方法。
- 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。
- free optimization problem 自由最优化问题
- 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。
- 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 LMI optimization problem is not classic LMI solvable form, the free software SCILAB can be used to solve the LMI optimization problem with equality constraint, but MATLAB can not. 带有等式约束的线性矩阵不等式问题是MATLAB无法解决的,利用自由软件SCILAB可以很方便的解决这个问题。
- The objective function of total Gibbs free energy of system is linearized to solve the optimality problem by linear programming. 将目标函数(物系总自由焓)作线性化处理,用单纯形法求解线性化后的寻优问题。
- 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。
- 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。
- 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。
- 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。