遗传算法是一种自适应全局优化概率搜索算法，它直接以目标函数作为搜索信息。
GA is an adaptive and global optimizing probability search method. It directly USES the objective function as search message.
最后，提出了全局近似和优化精度面向不同目标的启发式采样策略的改进方法。
Finally, a heuristic sampling method oriented to different targets is pointed to increase the model's global proximate and optimization precision.
在很多全局优化问题中，尽管目标函数和限制条件通常为非线性的，但仍会遇到某些参数和某些目标之间存在一些已知的单调关系。
In many global optimization problems, there exist some monotonous relations between parameters and some objectives, although the objective and constrain condition functions are nonlinear.
在此基础之上，利用改进的迭代算法完成曲面匹配的精确调整达到了全局最优化的目标。
On basis of these, an improved iterative algorithm is used in the exact adjustment to ensure the global optimization.
进化算法作为处理复杂函数最优化、全局最优化和多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithms are one of the effective algorithms for hard optimization, global optimization and multiobjective optimization problems, which are attached more and more importance to.
一个进化算法应用到全局优化问题的，它可能会陷入周围的局部最优解的目标函数，并具有较低的收敛速度。
When an evolutionary algorithm is applied to global optimization problems, it may be trapped around the local optima of the objective function and has a low convergence-rate.
单调优化是指目标函数与约束函数均为单调函数的全局最优化问题。
The monotone optimization is to maximize or minimize a monotone objective function constrained by monotone functions.
在给定的约束条件下，几何规划算法可以全局性地高效解决电感器各竞争目标（如品质因数与所占面积）之间的优化折中问题。
This algorithm can globally and efficiently solve the tradeoffs between the inductor competing objectives, such as the quality factor and the area.
实验结果表明，基于遗传算法的求解方案能快速地求出传感器节点位置优化问题的全局最优解，并满足目标定位的精度要求。
Experiment results show that the global optimal solution can be quickly obtained by the proposed method and the precision requirement for target location is satisfied.
单调优化是指目标函数与约束函数均为单调函数的全局优化问题。
The monotone optimization is to maximize a monotone objective function constrained by monotone functions.
该方法首先基于多散射中心理论建立待识别目标的模型、利用遗传算法的全局优化能力进行目标识别。
The model based on target scattering center distribute is built, and the target recognition is carried out by using GA.
结果表明：基于智能体的方法能实现多个运行决策的全局协调和集成，达到过程运行系统整体优化的目标。
The result shows that global coordination and optimization of process operating systems is achieved with the proposed approach.
最后在关联代价全局最优化框架下，将两者匹配结果融合，以提高多目标跟踪的正确率。
Under the global optimal association cost frame, fusion of above two matches is realized to improve the accuracy of tracking, which can resolve the complex multitarget tracking problem availably.
运用模拟退火算法，以水下航行器壳体的总质量最小为目标，对其结构参数进行全局优化设计。
With simulated annealing method, and using total quality of underwater shell as the objective function, the structure parameters are optimized.
对于多目标优化设计，遗传算法具有比传统优化方法更强的全局寻优能力。
The result shows that the diaphragm spring have better nonlinearity characteristic after optimum design with …
对于多目标优化设计，遗传算法具有比传统优化方法更强的全局寻优能力。
The result shows that the diaphragm spring have better nonlinearity characteristic after optimum design with …
应用推荐