Abstract
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 G1 continuity. We present numerical result using parameter changes in PSO scheme. We obtain appropriate parameter values of PSO that provide best error and fastest time to solve curve fitting problem. © 2012 Springer-Verlag.
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Yahya, Z. R., Mt Piah, A. R., & Abd Majid, A. (2012). Conic curve fitting using particle swarm optimization: Parameter tuning. In Communications in Computer and Information Science (Vol. 295 CCIS, pp. 379–382). https://doi.org/10.1007/978-3-642-32826-8_43
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