Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.
提出了一种适用于高维数值优化问题的空间分割微粒群算法。
The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.
实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
Optimization of forming process is a very difficult problem due to high nonlinearity and huge computational cost of numerical simulations.
这主要是由于塑性成形数值模拟的高度非线性和大计算量特征,使得成形过程优化变得非常困难。
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