Furthermore, PSO was modified here to improve the solving precision and convergent rates of optimization procedure.
并对普通粒子群优化算法进行了改进，提高了优化过程的求解精度和收敛速度。
Such an algorithm is verified to accelerate convergence process, enhance searching efficiency and solving precision as well as avoid low efficiency and local optimum.
实例证明该算法求解加速了收敛过程，提高了搜索效率，在避免陷入局部最优的同时提高了求解精度。
A stitching mathematics model was established, and method of solving parameters, precision evaluation criterion were provided.
给出了其拼接数学模型、参量求解方法及其精度评定判据。
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