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用协同演化并行PSO重构扩展的超二次曲面模型
引用本文:黄芳,樊晓平,瞿志华.用协同演化并行PSO重构扩展的超二次曲面模型[J].计算机工程与应用,2006,42(13):15-18,25.
作者姓名:黄芳  樊晓平  瞿志华
作者单位:1. 中南大学信息科学与工程学院,长沙,410083
2. 美国中佛罗里达大学电子与计算机工程系,Orlando,FL 32816-2450,USA
基金项目:中国科学院资助项目;浙江省湖州市自然科学基金
摘    要:针对用传统方法难以求解的扩展的超二次曲面三维模型参数拟合问题,提出了用协同演化的并行粒子群优化算法求解的新方法。通过对扩展的超二次曲面三维表示特性的研究,设计和实现了基于岛屿群体模型的并行粒子群优化算法,并用协同演化的思想,将约束非线性优化转化为极小极大问题进行求解。实验结果表明用协同演化的并行粒子群优化算法重构扩展的超二次曲面三维模型,扩大了模型表示能力,建模精确且效率高。

关 键 词:三维重构  扩展的超二次曲面  并行粒子群优化算法  协同演化  约束非线性优化
文章编号:1002-8331-(2006)13-0015-04
收稿时间:2006-02
修稿时间:2006-02

Reconstruction of Extended Superquadric Models by Cooperative Evolution Parallel PSO Algorithm
Huang Fang,Fan Xiaoping,Qu Zhihua.Reconstruction of Extended Superquadric Models by Cooperative Evolution Parallel PSO Algorithm[J].Computer Engineering and Applications,2006,42(13):15-18,25.
Authors:Huang Fang  Fan Xiaoping  Qu Zhihua
Abstract:A new method of cooperative evolution parallel particle swarm optimization algorithm is proposed in this paper.It aims at extended superquadric parametric fitting problem which is difficult to be solved by traditional method.3D representation characteristics of extended superquadrics are investigated firstly.The parallel particle swarm optimization algorithm is designed and practically implemented by an idea of island population model.Cooperative evolution parallel particle swarm optimization solve the constrained nonlinear optimization that is transformed to minimax problem for extended superquadric parametric fitting.The results show the enhanced representation capability and accurate and effective modeling by the proposed approach in extended superquadric 3D reconstruction.
Keywords:3D reconstruction  extended superquadrics  parallel particle swarm optimization algorithm  cooperative evolution  constrained nonlinear optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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