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基于微粒群算法的NURBS曲线降阶

Degree Reduction of NURBS Curves by Particle Swarm Optimization algorithm
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摘要 从最优化思想出发,把NURBS曲线的降阶问题转化为求解优化问题,并基于微粒群算法,给出NURBS曲线降阶的一种新方法.该方法可以实现多次降阶,且降阶后的NURBS曲线直接以显式给出. By means of optimization methods, degree reduction of NURBS curves has been transformed to an optimization problem. Based on Particle Swarm Optimization (PSO) algorithm, a new method was proposed to solve the problem of degree reduction of NURBS curves. By using this method, the NURBS curves can be reduced many times and the reduced NURBS curves can be represented explicitly.
作者 潘瑛
出处 《佳木斯大学学报(自然科学版)》 CAS 2010年第2期322-324,共3页 Journal of Jiamusi University:Natural Science Edition
关键词 最优化 NURBS曲线 降阶 微粒群 optimization NURBS curves degree reduction PSO
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