Unmanned Aerial Vehicle Path Planning using Bat Algorithm 
S. Aicevarya Devi1, C. Vijayalakshmi2
1S. Aicevarya Devi, Mathematics division, School of Advanced Science, Vellore Institute of Technology, Chennai, Tamil Nadu.
2C. Vijayalakshmi*, Mathematics division, School of Advanced Science, Vellore Institute of Technology, Chennai, Tamil Nadu.
Manuscript received on April 11, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 196-199 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9285069520/2020©BEIESP | DOI: 10.35940/ijeat.E9285.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Bat algorithm, Unmanned Aerial Vehicle, Population, Path planning, Frequency, Position.