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

机译:五参数优化五参数优化的混合人为蜜蜂群体算法

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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. (C) 2017 Optical Society of America
机译:引入了由最佳解决方案和细菌趋化性的启发的混合人造群菌落(ABC)算法,以优化五参数双向反射分布函数(BRDF)模型的参数。 为了验证混合ABC算法的性能,我们使用混合ABC算法和遗传算法来测量三种样本的BRDF和模拟五参数BRDF模型的未确定参数。 实验结果表明,在相同条件下,混合ABC算法在收敛速度,精度和时间效率下占遗传算法。 (c)2017年光学学会

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  • 来源
    《Applied optics》 |2017年第33期|共6页
  • 作者单位

    Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China;

    Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China;

    Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China;

    Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China;

    Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
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