Study on Path Planning Method for Mobile Robot Based on Fruit Fly Optimization Algorithm

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Abstract:

A path planning method based on fruit fly optimization algorithm was proposed. An optimization algorithm by the foraging process of fruit fly was presented, and the mathematical model of fitness function was established. The algorithm steps employing the LabVIEW platform were achieved. The experiments of path planning were carried out. The experimental results show that the optimization algorithm can achieve the path planning and avoidance of mobile robot, and thus to verify the feasibility.

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970-973

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jianmei Song, Kan Li: Transactions of Beijing Institute of Technology Vol. 27(2007), p.613 (in Chinese).

Google Scholar

[2] F. Ahmed, K. Deb: Soft Computing Vol. 17 ( 2013), p.1283.

Google Scholar

[3] Yong Song, Yibin Li, Caihong Li: Journal of Harbin Engineering University Vol. 30 (2009), p.898 (in Chinese).

Google Scholar

[4] Weidong Chen, qiguang Zhu: ACTA Electronica Sinica Vol. 39 (2011), p.971.

Google Scholar

[5] Fei Yu, Xiaoyong Tang, Hongyue Pan: Transactions of Beijing Institute of Technology Vol. 30 (2010), p.1059 (in Chinese).

Google Scholar

[6] Changan Liu, Xiaohu Yan, Chunyang Liu, et al: ACTA Electronica Sinica Vol. 39 (2011), p.1220 (in Chinese).

Google Scholar

[7] Tao Jiang, Jianzhong Wang, Jiadong Shi: Journal of Mechanical Engineering Vol. 48 (2012), p.41 (in Chinese).

Google Scholar

[8] Wentsao Pan. Knowledge-Based Systems Vol. 26(2012), p.69.

Google Scholar

[9] Xuegang Wang, Zaojian Zou: Journal of Shanghai Jiaotong University Vol. 47 (2013), p.884 (in Chinese).

Google Scholar

[10] Ling Wang, Xiaolong Zheng, Shengyao Wang: Knowledge-Based Systems Vol. 48 (2013), p.17.

Google Scholar