一种基于萤火虫算法的优化跟踪方法

2018 7th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2018-10-01 DOI:10.1109/BRACIS.2018.00059

V. P. L. Varela, Arthur Oliveira, Paulo Rodrigues, Miller Horvath

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摘要

萤火虫算法(FA)是一个模拟萤火虫社会行为的元启发式优化算法。算法是一种较好的跟踪算法，但其计算量较大。本研究提出了一种不同的方法，利用前一帧的Tsallis熵和qFA阈值作为下一帧的启发式算法，以提高其速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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qFA: An Optimized Based-Tracking Approach Using Firefly Algorithm

The Firefly Algorithm (FA) is a meta-heuristic optimization algorithm that mimics the social behaviour of fireflies. The FA is suggested as a good algorithm for tracking, but it still requires too much computational process. This study propose a different approach using the FA as a Tracking Algorithm by using Tsallis Entropy and qFA thresholds from the previous frame as heuristic for the next frame to enhance its speed.

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2018 7th Brazilian Conference on Intelligent Systems (BRACIS)

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