Conic Curve Fitting Using Particle Swarm Optimization: Parameter Tuning

被引：0
|
作者：
Yahya, Zainor Ridzuan [1 ]
Piah, Abd Rahni Mt [1 ]
Abd Majid, Ahmad [1 ]
机构：
[1] Univ Sains Malaysia, Sch Math Sci, George Town 11800, Malaysia
来源：
KNOWLEDGE TECHNOLOGY | 2012年 / 295卷
关键词：
Curve fitting; particle swarm optimization; parameter tuning;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We solve curve fitting problems using Particle Swarm Optimization (PSO). PSO is used to optimize control points and weights of two conic curves to a set of data points. PSO is used to find the best middle control point and weight for both conic curves to provide piecewise conics that preserve G boolean AND I continuity. We present numerical result using parameter changes in PSO cheme. We obtain appropriate parameter values of PSO that provide hest error and fastest time to solve curve fitting problem.
引用
收藏
页码：379 / 382
页数：4
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