三维布局问题属于组合最优化问题和NP完全问题，在一定时间内求其精确全局最优解是相当困难的。
Three-dimensional component packing is a combinatorial optimization and NP-complete problem. It is difficult to find its exact global optimum.
根据这一特点，从维恩公式出发，利用最优化方法处理测得的火焰辐射光谱信号，得到了火焰的温度和黑度。
Based on the Wien's law temperature and emissivity of flame were obtained by processing the measured data with an optimization algorithm.
本文介绍一维扩散方程的逆向计算方法，并讨论了该方法在核燃料利用最优化分析上的应用。
This Paper presents one-dimensional backward analytical solution of diffusion equations and its application to optimization of fuel utilization.
采用正交试验的方法对基于柔性悬臂梁的一维柔性结构进行了参数优化设计以获得最大的输出位移：对最优结构进行了强度校核、模态分析。
The geometry of the flexible cantilever based one dimension compliant mechanism is optimized to get the biggest output displacement by using orthogonal arrays and analysis variance.
本文提出了一种多个三维刚体运动的匹配和估计算法，将对应点匹配和运动参数估计结合在一起，转化为代价函数的最优化过程。
This paper presents a matching and estimation algorithm for 3-d rigid body motions, integrating the procedures of the point match and motion estimation into a global optimization process.
为了解决多重模态最优化问题，我们运用了一维离散优化方法、遗传算法和蚁群算法。
To solve the multimodal optimization problem the 1d discrete optimization methods, the genetic and Ant Colony algorithms are applied.
经过推导，把一个四维带约束非线性最优化问题转化为一个二维无约束非线性最优化问题，并给出了求解过程。
After transforming the nonlinear optimal problem of four degrees of freedom with constraints to a nonlinear optimal problem of two degrees of freedom without constraints, the solution is given.
当考虑到发电机报价曲线的影响时，发电计划偏差优化问题是一个高维、离散、约束条件复杂的非线性最优化问题。
Considering the generators bidding prices curves, the generation scheduling error optimization problem is high dimensional, disperse, complex constrained, non-liner problem.
当考虑到发电机报价曲线的影响时，发电计划偏差优化问题是一个高维、离散、约束条件复杂的非线性最优化问题。
Considering the generators bidding prices curves, the generation scheduling error optimization problem is high dimensional, disperse, complex constrained, non-liner problem.
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