publication . Article . 2020

Unmanned Aerial Vehicle Path Planning using Bat Algorithm

S. Aicevarya Devi; C. Vijayalakshmi;
Open Access
  • Published: 30 Jun 2020 Journal: International Journal of Engineering and Advanced Technology, volume 9, pages 196-199 (eissn: 2249-8958, Copyright policy)
  • Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Abstract
Unmanned Aerial Vehicles (UAV) was introduced after World War II. In 1980’s UAV consider as important weapon system. Initially UAV needs initial position and target position. In this paper bat algorithm is proposed with mixed objective constraints which helps in directing the UAV. The process is initialized by generating the initial population of bat. Then by updating the population size and generation of bat the fitness value with minimum frequency is found that helps to avoid convergence among UAV. Finally the evaluation which gives minimum frequency is considered as optimal solution.
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Subjects
free text keywords: Computer Science Applications, General Engineering, Environmental Engineering, Bat algorithm, Unmanned Aerial Vehicle, Population, Path planning, Frequency, Position., 2249-8958, E9285069520/2020©BEIESP, Computer vision, Motion planning, Position (vector), Computer science, Population, education.field_of_study, education, Bat algorithm, Artificial intelligence, business.industry, business
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