Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Hybrid BBO-Firefly algorithm for parameter optimization of bidirectional reflection distribution function model

Version 1 : Received: 15 August 2023 / Approved: 15 August 2023 / Online: 16 August 2023 (11:23:27 CEST)

How to cite: Sun, H.; Li, Y.; Guo, H.; Luan, C. Hybrid BBO-Firefly algorithm for parameter optimization of bidirectional reflection distribution function model. Preprints 2023, 2023081165. https://doi.org/10.20944/preprints202308.1165.v1 Sun, H.; Li, Y.; Guo, H.; Luan, C. Hybrid BBO-Firefly algorithm for parameter optimization of bidirectional reflection distribution function model. Preprints 2023, 2023081165. https://doi.org/10.20944/preprints202308.1165.v1

Abstract

We designed a bidirectional reflection distribution function (BRDF) measurement system to research the characteristics of space target materials. This system measures the BRDF data of an aluminum plate and gold foil. A hybrid biogeography-based optimization-firefly (BBO-Firefly) algorithm was proposed to optimize the five-parameter BRDF model. To check the performance of the hybrid BBO-Firefly algorithm, we set up a contrast experiment to optimize the BRDF parameters using the BBO algorithm, Firefly algorithm, and hybrid BBO-Firefly algorithm. The experimental results prove that the hybrid BBO-Firefly algorithm surpasses the BBO algorithm and Firefly algorithm in convergence speed and precision in the same situation and has a better optimization effect. Finally, we substitute the optimization results of the hybrid BPO-Firefly algorithm into the BRDF model to analyze the reflection characteristics of an aluminum plate and gold foil.

Keywords

BRDF; biogeography-based optimization algorithm; Firefly algorithm; hybrid BBO-Firefly algorithm

Subject

Engineering, Other

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