Hybrid artificial bee colony algorithm for parameter optimization of five-parameter bidirectional reflectance distribution function model

Qianqian Wang*, Jing Zhao, Yong Gong, Qun Hao, Zhong Peng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

A hybrid artificial bee colony (ABC) algorithm inspired by the best-so-far solution and bacterial chemotaxis was introduced to optimize the parameters of the five-parameter bidirectional reflectance distribution function (BRDF) model. To verify the performance of the hybrid ABC algorithm, we measured BRDF of three kinds of samples and simulated the undetermined parameters of the five-parameter BRDF model using the hybrid ABC algorithm and the genetic algorithm, respectively. The experimental results demonstrate that the hybrid ABC algorithm outperforms the genetic algorithm in convergence speed, accuracy, and time efficiency under the same conditions.

源语言英语
页(从-至)9165-9170
页数6
期刊Applied Optics
56
33
DOI
出版状态已出版 - 20 11月 2017

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