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Parameter selection for biogeography-based optimization in unmanned aerial vehicle path planning

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Title: Parameter selection for biogeography-based optimization in unmanned aerial vehicle path planning

Authors: Kai Yit Kok, Parvathy Rajendran, Ruslan Rainis, Jasmee Jaafar, Zulkepli Majid

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 23

Language: English

Categories
Optimization (992) Path Planning (11) Aerospace Engineering (534) Robotics (1073) Artificial Intelligence (6625)

Abstract

Biogeography-based optimization (BBO) has recently become popular in unmanned aerial vehicle (UAV) path planning. Similar to other evolutionary algorithms, the performance of BBO is affected when the parameter setting is not finely tuned. Therefore, the BBO parameters are optimized in this research particularly for application in UAV path planning. Each combination setting of parameters is simulated 100 times to obtain the average performance. The optimum population size and mutation rate of BBO settings for UAV path planning are also proposed.

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