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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)9165-9170
Number of pages6
JournalApplied Optics
Volume56
Issue number33
DOIs
Publication statusPublished - 20 Nov 2017

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