使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
该算法通过将整个搜索空间分割成若干子空间，在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
本文在上述基础上应用并行子空间优化设计（CSSO）算法对无尾飞翼式攻击型无人机进行多学科一体化设计。
One of major contributions in this research is an application of Concurrent Subspace Optimization (CSSO) to the preliminary design of aggressive tailless Unmanned Aerial Vehicle.
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